ROOT 6.10/09 Reference Guide |
HypoTestInverterResult class holds the array of hypothesis test results and compute a confidence interval.
Based on the RatioFinder code available in the RooStatsCms package developed by Gregory Schott and Danilo Piparo Ported and adapted to RooStats by Gregory Schott Some contributions to this class have been written by Matthias Wolf (error estimation)
Definition at line 26 of file HypoTestInverterResult.h.
Public Types | |
enum | InterpolOption_t { kLinear, kSpline } |
Public Types inherited from TObject | |
enum | { kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff } |
enum | { kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) } |
enum | EStatusBits { kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13) } |
Public Member Functions | |
HypoTestInverterResult (const char *name=0) | |
default constructor More... | |
HypoTestInverterResult (const char *name, const RooRealVar &scannedVariable, double cl) | |
constructor More... | |
HypoTestInverterResult (const HypoTestInverterResult &other, const char *name) | |
copy constructor More... | |
virtual | ~HypoTestInverterResult () |
destructor More... | |
bool | Add (const HypoTestInverterResult &otherResult) |
merge with the content of another HypoTestInverterResult object More... | |
bool | Add (Double_t x, const HypoTestResult &result) |
add the result of a single point (an HypoTestRsult) More... | |
int | ArraySize () const |
number of entries in the results array More... | |
double | CLb (int index) const |
return the observed CLb value for the i-th entry More... | |
double | CLbError (int index) const |
return the observed CLb value for the i-th entry More... | |
double | CLs (int index) const |
return the observed CLb value for the i-th entry More... | |
double | CLsError (int index) const |
return the observed CLb value for the i-th entry More... | |
double | CLsplusb (int index) const |
return the observed CLsplusb value for the i-th entry More... | |
double | CLsplusbError (int index) const |
return the observed CLsplusb value for the i-th entry More... | |
int | ExclusionCleanup () |
remove points that appear to have failed. More... | |
int | FindIndex (double xvalue) const |
find the index corresponding at the poi value xvalue If no points is found return -1 Note that a tolerance is used of 10^-12 to find the closest point More... | |
double | FindInterpolatedLimit (double target, bool lowSearch=false, double xmin=1, double xmax=0) |
interpolate to find a limit value Use a linear or a spline interpolation depending on the interpolation option More... | |
SamplingDistribution * | GetAltTestStatDist (int index) const |
SamplingDistribution * | GetBackgroundTestStatDist (int index) const |
get the background test statistic distribution More... | |
double | GetExpectedLowerLimit (double nsig=0, const char *opt="") const |
get Limit value corresponding at the desired nsigma level (0) is median -1 sigma is 1 sigma More... | |
SamplingDistribution * | GetExpectedPValueDist (int index) const |
return expected distribution of p-values (Cls or Clsplusb) More... | |
double | GetExpectedUpperLimit (double nsig=0, const char *opt="") const |
get Limit value corresponding at the desired nsigma level (0) is median -1 sigma is 1 sigma More... | |
InterpolOption_t | GetInterpolationOption () const |
HypoTestResult * | GetLastResult () const |
double | GetLastXValue () const |
double | GetLastYError () const |
double | GetLastYValue () const |
SamplingDistribution * | GetLowerLimitDistribution () const |
get expected lower limit distributions implemented using interpolation The size for the sampling distribution is given (by default is given by the average number of toy/point) More... | |
SamplingDistribution * | GetNullTestStatDist (int index) const |
same in terms of alt and null More... | |
HypoTestResult * | GetResult (int index) const |
return a pointer to the i^th result object More... | |
SamplingDistribution * | GetSignalAndBackgroundTestStatDist (int index) const |
get the signal and background test statistic distribution More... | |
SamplingDistribution * | GetUpperLimitDistribution () const |
get expected upper limit distributions implemented using interpolation More... | |
double | GetXValue (int index) const |
function to return the value of the parameter of interest for the i^th entry in the results More... | |
double | GetYError (int index) const |
function to return the estimated error on the value of the confidence level for the i^th entry in the results More... | |
double | GetYValue (int index) const |
function to return the value of the confidence level for the i^th entry in the results More... | |
bool | IsOneSided () const |
query if one sided result More... | |
bool | IsTwoSided () const |
query if two sided result More... | |
Double_t | LowerLimit () |
lower and upper bound of the confidence interval (to get upper/lower limits, multiply the size( = 1-confidence level ) by 2 More... | |
Double_t | LowerLimitEstimatedError () |
rough estimation of the error on the computed bound of the confidence interval Estimate of lower limit error function evaluates only a rough error on the lower limit. More... | |
HypoTestInverterResult & | operator= (const HypoTestInverterResult &other) |
operator = More... | |
void | SetCLsCleanupThreshold (Double_t th) |
set CLs threshold for exclusion cleanup function More... | |
virtual void | SetConfidenceLevel (Double_t cl) |
set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval) More... | |
void | SetInterpolationOption (InterpolOption_t opt) |
set the interpolation option, linear (kLinear ) or spline (kSpline) More... | |
virtual void | SetTestSize (Double_t size) |
set the size of the test (rate of Type I error) (eg. 0.05 for a 95% Confidence Interval) More... | |
Double_t | UpperLimit () |
Double_t | UpperLimitEstimatedError () |
Estimate of lower limit error function evaluates only a rough error on the lower limit. More... | |
void | UseCLs (bool on=true) |
flag to switch between using CLsb (default) or CLs as confidence level More... | |
Public Member Functions inherited from RooStats::SimpleInterval | |
SimpleInterval (const char *name=0) | |
Default constructor. More... | |
SimpleInterval (const SimpleInterval &other, const char *name) | |
fParameters.add( other.fParameters ); More... | |
SimpleInterval (const char *name, const RooRealVar &var, Double_t lower, Double_t upper, Double_t cl) | |
Alternate constructor. More... | |
virtual | ~SimpleInterval () |
Destructor. More... | |
Bool_t | CheckParameters (const RooArgSet &) const |
check if parameters are correct (i.e. they are the POI of this interval) More... | |
virtual Double_t | ConfidenceLevel () const |
return confidence level More... | |
virtual RooArgSet * | GetParameters () const |
return cloned list of parameters More... | |
virtual Bool_t | IsInInterval (const RooArgSet &) const |
Method to determine if a parameter point is in the interval. More... | |
SimpleInterval & | operator= (const SimpleInterval &other) |
Public Member Functions inherited from RooStats::ConfInterval | |
ConfInterval (const char *name=0) | |
constructor given name and title More... | |
virtual | ~ConfInterval () |
destructor More... | |
ConfInterval & | operator= (const ConfInterval &other) |
operator= More... | |
Public Member Functions inherited from TNamed | |
TNamed () | |
TNamed (const char *name, const char *title) | |
TNamed (const TString &name, const TString &title) | |
TNamed (const TNamed &named) | |
TNamed copy ctor. More... | |
virtual | ~TNamed () |
virtual void | Clear (Option_t *option="") |
Set name and title to empty strings (""). More... | |
virtual TObject * | Clone (const char *newname="") const |
Make a clone of an object using the Streamer facility. More... | |
virtual Int_t | Compare (const TObject *obj) const |
Compare two TNamed objects. More... | |
virtual void | Copy (TObject &named) const |
Copy this to obj. More... | |
virtual void | FillBuffer (char *&buffer) |
Encode TNamed into output buffer. More... | |
virtual const char * | GetName () const |
Returns name of object. More... | |
virtual const char * | GetTitle () const |
Returns title of object. More... | |
virtual ULong_t | Hash () const |
Return hash value for this object. More... | |
virtual Bool_t | IsSortable () const |
virtual void | ls (Option_t *option="") const |
List TNamed name and title. More... | |
TNamed & | operator= (const TNamed &rhs) |
TNamed assignment operator. More... | |
virtual void | Print (Option_t *option="") const |
Print TNamed name and title. More... | |
virtual void | SetName (const char *name) |
Set the name of the TNamed. More... | |
virtual void | SetNameTitle (const char *name, const char *title) |
Set all the TNamed parameters (name and title). More... | |
virtual void | SetTitle (const char *title="") |
Set the title of the TNamed. More... | |
virtual Int_t | Sizeof () const |
Return size of the TNamed part of the TObject. More... | |
Public Member Functions inherited from TObject | |
TObject () | |
TObject constructor. More... | |
TObject (const TObject &object) | |
TObject copy ctor. More... | |
virtual | ~TObject () |
TObject destructor. More... | |
void | AbstractMethod (const char *method) const |
Use this method to implement an "abstract" method that you don't want to leave purely abstract. More... | |
virtual void | AppendPad (Option_t *option="") |
Append graphics object to current pad. More... | |
virtual void | Browse (TBrowser *b) |
Browse object. May be overridden for another default action. More... | |
virtual const char * | ClassName () const |
Returns name of class to which the object belongs. More... | |
virtual void | Delete (Option_t *option="") |
Delete this object. More... | |
virtual Int_t | DistancetoPrimitive (Int_t px, Int_t py) |
Computes distance from point (px,py) to the object. More... | |
virtual void | Draw (Option_t *option="") |
Default Draw method for all objects. More... | |
virtual void | DrawClass () const |
Draw class inheritance tree of the class to which this object belongs. More... | |
virtual TObject * | DrawClone (Option_t *option="") const |
Draw a clone of this object in the current selected pad for instance with: gROOT->SetSelectedPad(gPad) . More... | |
virtual void | Dump () const |
Dump contents of object on stdout. More... | |
virtual void | Error (const char *method, const char *msgfmt,...) const |
Issue error message. More... | |
virtual void | Execute (const char *method, const char *params, Int_t *error=0) |
Execute method on this object with the given parameter string, e.g. More... | |
virtual void | Execute (TMethod *method, TObjArray *params, Int_t *error=0) |
Execute method on this object with parameters stored in the TObjArray. More... | |
virtual void | ExecuteEvent (Int_t event, Int_t px, Int_t py) |
Execute action corresponding to an event at (px,py). More... | |
virtual void | Fatal (const char *method, const char *msgfmt,...) const |
Issue fatal error message. More... | |
virtual TObject * | FindObject (const char *name) const |
Must be redefined in derived classes. More... | |
virtual TObject * | FindObject (const TObject *obj) const |
Must be redefined in derived classes. More... | |
virtual Option_t * | GetDrawOption () const |
Get option used by the graphics system to draw this object. More... | |
virtual const char * | GetIconName () const |
Returns mime type name of object. More... | |
virtual char * | GetObjectInfo (Int_t px, Int_t py) const |
Returns string containing info about the object at position (px,py). More... | |
virtual Option_t * | GetOption () const |
virtual UInt_t | GetUniqueID () const |
Return the unique object id. More... | |
virtual Bool_t | HandleTimer (TTimer *timer) |
Execute action in response of a timer timing out. More... | |
virtual void | Info (const char *method, const char *msgfmt,...) const |
Issue info message. More... | |
virtual Bool_t | InheritsFrom (const char *classname) const |
Returns kTRUE if object inherits from class "classname". More... | |
virtual Bool_t | InheritsFrom (const TClass *cl) const |
Returns kTRUE if object inherits from TClass cl. More... | |
virtual void | Inspect () const |
Dump contents of this object in a graphics canvas. More... | |
void | InvertBit (UInt_t f) |
virtual Bool_t | IsEqual (const TObject *obj) const |
Default equal comparison (objects are equal if they have the same address in memory). More... | |
virtual Bool_t | IsFolder () const |
Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More... | |
Bool_t | IsOnHeap () const |
Bool_t | IsZombie () const |
void | MayNotUse (const char *method) const |
Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). More... | |
virtual Bool_t | Notify () |
This method must be overridden to handle object notification. More... | |
void | Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const |
Use this method to declare a method obsolete. More... | |
void | operator delete (void *ptr) |
Operator delete. More... | |
void | operator delete[] (void *ptr) |
Operator delete []. More... | |
void * | operator new (size_t sz) |
void * | operator new (size_t sz, void *vp) |
void * | operator new[] (size_t sz) |
void * | operator new[] (size_t sz, void *vp) |
TObject & | operator= (const TObject &rhs) |
TObject assignment operator. More... | |
virtual void | Paint (Option_t *option="") |
This method must be overridden if a class wants to paint itself. More... | |
virtual void | Pop () |
Pop on object drawn in a pad to the top of the display list. More... | |
virtual Int_t | Read (const char *name) |
Read contents of object with specified name from the current directory. More... | |
virtual void | RecursiveRemove (TObject *obj) |
Recursively remove this object from a list. More... | |
void | ResetBit (UInt_t f) |
virtual void | SaveAs (const char *filename="", Option_t *option="") const |
Save this object in the file specified by filename. More... | |
virtual void | SavePrimitive (std::ostream &out, Option_t *option="") |
Save a primitive as a C++ statement(s) on output stream "out". More... | |
void | SetBit (UInt_t f, Bool_t set) |
Set or unset the user status bits as specified in f. More... | |
void | SetBit (UInt_t f) |
virtual void | SetDrawOption (Option_t *option="") |
Set drawing option for object. More... | |
virtual void | SetUniqueID (UInt_t uid) |
Set the unique object id. More... | |
virtual void | SysError (const char *method, const char *msgfmt,...) const |
Issue system error message. More... | |
Bool_t | TestBit (UInt_t f) const |
Int_t | TestBits (UInt_t f) const |
virtual void | UseCurrentStyle () |
Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More... | |
virtual void | Warning (const char *method, const char *msgfmt,...) const |
Issue warning message. More... | |
virtual Int_t | Write (const char *name=0, Int_t option=0, Int_t bufsize=0) |
Write this object to the current directory. More... | |
virtual Int_t | Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const |
Write this object to the current directory. More... | |
Protected Attributes | |
double | fCLsCleanupThreshold |
TList | fExpPValues |
list of HypoTestResult for each point More... | |
bool | fFittedLowerLimit |
bool | fFittedUpperLimit |
bool | fInterpolateLowerLimit |
two sided scan (look for lower/upper limit) More... | |
bool | fInterpolateUpperLimit |
InterpolOption_t | fInterpolOption |
bool | fIsTwoSided |
double | fLowerLimitError |
interpolation option (linear or spline) More... | |
double | fUpperLimitError |
bool | fUseCLs |
std::vector< double > | fXValues |
number of points used to build expected p-values More... | |
TList | fYObjects |
Protected Attributes inherited from RooStats::SimpleInterval | |
Double_t | fConfidenceLevel |
Double_t | fLowerLimit |
RooArgSet | fParameters |
Double_t | fUpperLimit |
Protected Attributes inherited from TNamed | |
TString | fName |
TString | fTitle |
Static Protected Attributes | |
static double | fgAsymptoticMaxSigma = 5 |
static int | fgAsymptoticNumPoints = 11 |
max sigma value used to scan asymptotic expected p values More... | |
Private Member Functions | |
double | CalculateEstimatedError (double target, bool lower=true, double xmin=1, double xmax=0) |
Return an error estimate on the upper(lower) limit. More... | |
int | FindClosestPointIndex (double target, int mode=0, double xtarget=0) |
double | GetExpectedLimit (double nsig, bool lower, const char *opt="") const |
get expected limit (lower/upper) depending on the flag for asymptotic is a special case (the distribution is generated an step in sigma values) distinguish asymptotic looking at the hypotest results if option = "P" get expected limit using directly quantiles of p value distribution else (default) find expected limit by obtaining first a full limit distributions The last one is in general more correct More... | |
double | GetGraphX (const TGraph &g, double y0, bool lowSearch, double &xmin, double &xmax) const |
return the X value of the given graph for the target value y0 the graph is evaluated using linear interpolation by default. More... | |
double | GetGraphX (const TGraph &g, double y0, bool lowSearch=true) const |
SamplingDistribution * | GetLimitDistribution (bool lower) const |
get the limit distribution (lower/upper depending on the flag) by interpolating the expected p values for each point More... | |
Friends | |
class | HypoTestInverter |
list of expected sampling distribution for each point More... | |
class | HypoTestInverterOriginal |
class | HypoTestInverterPlot |
Additional Inherited Members | |
Static Public Member Functions inherited from TObject | |
static Long_t | GetDtorOnly () |
Return destructor only flag. More... | |
static Bool_t | GetObjectStat () |
Get status of object stat flag. More... | |
static void | SetDtorOnly (void *obj) |
Set destructor only flag. More... | |
static void | SetObjectStat (Bool_t stat) |
Turn on/off tracking of objects in the TObjectTable. More... | |
Protected Member Functions inherited from TObject | |
virtual void | DoError (int level, const char *location, const char *fmt, va_list va) const |
Interface to ErrorHandler (protected). More... | |
void | MakeZombie () |
#include <RooStats/HypoTestInverterResult.h>
Enumerator | |
---|---|
kLinear | |
kSpline |
Definition at line 162 of file HypoTestInverterResult.h.
|
explicit |
default constructor
Definition at line 58 of file HypoTestInverterResult.cxx.
HypoTestInverterResult::HypoTestInverterResult | ( | const char * | name, |
const RooRealVar & | scannedVariable, | ||
double | cl | ||
) |
constructor
Definition at line 152 of file HypoTestInverterResult.cxx.
HypoTestInverterResult::HypoTestInverterResult | ( | const HypoTestInverterResult & | other, |
const char * | name | ||
) |
copy constructor
Definition at line 81 of file HypoTestInverterResult.cxx.
|
virtual |
destructor
Definition at line 181 of file HypoTestInverterResult.cxx.
bool HypoTestInverterResult::Add | ( | const HypoTestInverterResult & | otherResult | ) |
merge with the content of another HypoTestInverterResult object
Merge this HypoTestInverterResult with another HypoTestInverterResult passed as argument The merge is done by combining the HypoTestResult when the same point value exist in both results.
If results exist at different points these are added in the new result NOTE: Merging of the expected p-values obtained with pseudo-data. When expected p-values exist in the result (i.e. when rebuild option is used when getting the expected limit distribution in the HYpoTestInverter) then the expected p-values are also merged. This is equivalent at merging the pseudo-data. However there can be an inconsistency if the expected p-values have been obtained with different toys. In this case the merge is done but a warning message is printed.
Definition at line 327 of file HypoTestInverterResult.cxx.
bool HypoTestInverterResult::Add | ( | Double_t | x, |
const HypoTestResult & | result | ||
) |
add the result of a single point (an HypoTestRsult)
Add a single point result (an HypoTestResult)
Definition at line 416 of file HypoTestInverterResult.cxx.
|
inline |
number of entries in the results array
Definition at line 94 of file HypoTestInverterResult.h.
|
private |
Return an error estimate on the upper(lower) limit.
This is the error on either CLs or CLsplusb divided by an estimate of the slope at this point.
Definition at line 970 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::CLb | ( | int | index | ) | const |
return the observed CLb value for the i-th entry
function to return the observed CLb value for the i-th entry
Definition at line 485 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::CLbError | ( | int | index | ) | const |
return the observed CLb value for the i-th entry
function to return the error on the observed CLb value for the i-th entry
Definition at line 521 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::CLs | ( | int | index | ) | const |
return the observed CLb value for the i-th entry
function to return the observed CLs value for the i-th entry
Definition at line 509 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::CLsError | ( | int | index | ) | const |
return the observed CLb value for the i-th entry
function to return the error on the observed CLs value for the i-th entry
Definition at line 545 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::CLsplusb | ( | int | index | ) | const |
return the observed CLsplusb value for the i-th entry
function to return the observed CLs+b value for the i-th entry
Definition at line 497 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::CLsplusbError | ( | int | index | ) | const |
return the observed CLsplusb value for the i-th entry
function to return the error on the observed CLs+b value for the i-th entry
Definition at line 533 of file HypoTestInverterResult.cxx.
int HypoTestInverterResult::ExclusionCleanup | ( | ) |
remove points that appear to have failed.
Definition at line 193 of file HypoTestInverterResult.cxx.
|
private |
Definition at line 881 of file HypoTestInverterResult.cxx.
int HypoTestInverterResult::FindIndex | ( | double | xvalue | ) | const |
find the index corresponding at the poi value xvalue If no points is found return -1 Note that a tolerance is used of 10^-12 to find the closest point
Definition at line 572 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::FindInterpolatedLimit | ( | double | target, |
bool | lowSearch = false , |
||
double | xmin = 1 , |
||
double | xmax = 0 |
||
) |
interpolate to find a limit value Use a linear or a spline interpolation depending on the interpolation option
Definition at line 708 of file HypoTestInverterResult.cxx.
|
inline |
Definition at line 140 of file HypoTestInverterResult.h.
SamplingDistribution * HypoTestInverterResult::GetBackgroundTestStatDist | ( | int | index | ) | const |
get the background test statistic distribution
Definition at line 1104 of file HypoTestInverterResult.cxx.
|
private |
get expected limit (lower/upper) depending on the flag for asymptotic is a special case (the distribution is generated an step in sigma values) distinguish asymptotic looking at the hypotest results if option = "P" get expected limit using directly quantiles of p value distribution else (default) find expected limit by obtaining first a full limit distributions The last one is in general more correct
Definition at line 1310 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::GetExpectedLowerLimit | ( | double | nsig = 0 , |
const char * | opt = "" |
||
) | const |
get Limit value corresponding at the desired nsigma level (0) is median -1 sigma is 1 sigma
Get the expected lower limit nsig is used to specify which expected value of the UpperLimitDistribution For example.
Definition at line 1279 of file HypoTestInverterResult.cxx.
SamplingDistribution * HypoTestInverterResult::GetExpectedPValueDist | ( | int | index | ) | const |
return expected distribution of p-values (Cls or Clsplusb)
get the expected p-value distribution at the scanned point index
Definition at line 1123 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::GetExpectedUpperLimit | ( | double | nsig = 0 , |
const char * | opt = "" |
||
) | const |
get Limit value corresponding at the desired nsigma level (0) is median -1 sigma is 1 sigma
Get the expected upper limit nsig is used to specify which expected value of the UpperLimitDistribution For example.
Definition at line 1297 of file HypoTestInverterResult.cxx.
|
private |
return the X value of the given graph for the target value y0 the graph is evaluated using linear interpolation by default.
if option = "S" a TSpline3 is used
Definition at line 589 of file HypoTestInverterResult.cxx.
|
inlineprivate |
Definition at line 181 of file HypoTestInverterResult.h.
|
inline |
Definition at line 167 of file HypoTestInverterResult.h.
|
inline |
Definition at line 91 of file HypoTestInverterResult.h.
|
inline |
Definition at line 87 of file HypoTestInverterResult.h.
|
inline |
Definition at line 89 of file HypoTestInverterResult.h.
|
inline |
Definition at line 85 of file HypoTestInverterResult.h.
|
private |
get the limit distribution (lower/upper depending on the flag) by interpolating the expected p values for each point
Definition at line 1179 of file HypoTestInverterResult.cxx.
|
inline |
get expected lower limit distributions implemented using interpolation The size for the sampling distribution is given (by default is given by the average number of toy/point)
Definition at line 147 of file HypoTestInverterResult.h.
|
inline |
same in terms of alt and null
Definition at line 137 of file HypoTestInverterResult.h.
HypoTestResult * HypoTestInverterResult::GetResult | ( | int | index | ) | const |
return a pointer to the i^th result object
get the HypoTestResult object at the given index point
Definition at line 557 of file HypoTestInverterResult.cxx.
SamplingDistribution * HypoTestInverterResult::GetSignalAndBackgroundTestStatDist | ( | int | index | ) | const |
get the signal and background test statistic distribution
Definition at line 1114 of file HypoTestInverterResult.cxx.
|
inline |
get expected upper limit distributions implemented using interpolation
Definition at line 151 of file HypoTestInverterResult.h.
double HypoTestInverterResult::GetXValue | ( | int | index | ) | const |
function to return the value of the parameter of interest for the i^th entry in the results
Definition at line 438 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::GetYError | ( | int | index | ) | const |
function to return the estimated error on the value of the confidence level for the i^th entry in the results
Definition at line 468 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::GetYValue | ( | int | index | ) | const |
function to return the value of the confidence level for the i^th entry in the results
Definition at line 451 of file HypoTestInverterResult.cxx.
|
inline |
query if one sided result
Definition at line 111 of file HypoTestInverterResult.h.
|
inline |
query if two sided result
Definition at line 113 of file HypoTestInverterResult.h.
|
virtual |
lower and upper bound of the confidence interval (to get upper/lower limits, multiply the size( = 1-confidence level ) by 2
Reimplemented from RooStats::SimpleInterval.
Definition at line 936 of file HypoTestInverterResult.cxx.
Double_t HypoTestInverterResult::LowerLimitEstimatedError | ( | ) |
rough estimation of the error on the computed bound of the confidence interval Estimate of lower limit error function evaluates only a rough error on the lower limit.
need to have compute first lower limit
Be careful when using this estimation
Definition at line 1083 of file HypoTestInverterResult.cxx.
HypoTestInverterResult & HypoTestInverterResult::operator= | ( | const HypoTestInverterResult & | other | ) |
operator =
Definition at line 111 of file HypoTestInverterResult.cxx.
set CLs threshold for exclusion cleanup function
Definition at line 105 of file HypoTestInverterResult.h.
set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval)
Reimplemented from RooStats::SimpleInterval.
Definition at line 102 of file HypoTestInverterResult.h.
|
inline |
set the interpolation option, linear (kLinear ) or spline (kSpline)
Definition at line 165 of file HypoTestInverterResult.h.
set the size of the test (rate of Type I error) (eg. 0.05 for a 95% Confidence Interval)
Definition at line 99 of file HypoTestInverterResult.h.
|
virtual |
Reimplemented from RooStats::SimpleInterval.
Definition at line 952 of file HypoTestInverterResult.cxx.
Double_t HypoTestInverterResult::UpperLimitEstimatedError | ( | ) |
Estimate of lower limit error function evaluates only a rough error on the lower limit.
Be careful when using this estimation
Definition at line 1093 of file HypoTestInverterResult.cxx.
|
inline |
flag to switch between using CLsb (default) or CLs as confidence level
Definition at line 108 of file HypoTestInverterResult.h.
|
friend |
list of expected sampling distribution for each point
Definition at line 210 of file HypoTestInverterResult.h.
|
friend |
Definition at line 212 of file HypoTestInverterResult.h.
|
friend |
Definition at line 211 of file HypoTestInverterResult.h.
|
protected |
Definition at line 200 of file HypoTestInverterResult.h.
|
protected |
list of HypoTestResult for each point
Definition at line 208 of file HypoTestInverterResult.h.
|
protected |
Definition at line 193 of file HypoTestInverterResult.h.
|
protected |
Definition at line 194 of file HypoTestInverterResult.h.
|
staticprotected |
Definition at line 202 of file HypoTestInverterResult.h.
|
staticprotected |
max sigma value used to scan asymptotic expected p values
Definition at line 203 of file HypoTestInverterResult.h.
|
protected |
two sided scan (look for lower/upper limit)
Definition at line 191 of file HypoTestInverterResult.h.
|
protected |
Definition at line 192 of file HypoTestInverterResult.h.
|
protected |
Definition at line 195 of file HypoTestInverterResult.h.
|
protected |
Definition at line 190 of file HypoTestInverterResult.h.
|
protected |
interpolation option (linear or spline)
Definition at line 197 of file HypoTestInverterResult.h.
|
protected |
Definition at line 198 of file HypoTestInverterResult.h.
|
protected |
Definition at line 189 of file HypoTestInverterResult.h.
|
protected |
number of points used to build expected p-values
Definition at line 205 of file HypoTestInverterResult.h.
|
protected |
Definition at line 207 of file HypoTestInverterResult.h.