Main Page | Directories | File List | File Members | Related Pages

TestStatistic.c File Reference

#include "party.h"

Include dependency graph for TestStatistic.c:

Go to the source code of this file.

Functions

void C_standardize (const double *t, const double *mu, const double *Sigma, int pq, double tol, double *ans)
void C_absstandardize (const double *t, const double *mu, const double *Sigma, int pq, double tol, double *ans)
double C_maxabsTestStatistic (const double *t, const double *mu, const double *Sigma, int pq, double tol)
SEXP R_maxabsTestStatistic (SEXP t, SEXP mu, SEXP Sigma, SEXP tol)
double C_quadformTestStatistic (const double *t, const double *mu, const double *SigmaPlus, int pq)
SEXP R_quadformTestStatistic (SEXP t, SEXP mu, SEXP SigmaPlus)


Detailed Description

Test statistics for conditional inference

Author:
Author
hothorn
Date:
Date
2005-06-14 11:21:32 +0200 (Tue, 14 Jun 2005)

Definition in file TestStatistic.c.


Function Documentation

void C_absstandardize const double *  t,
const double *  mu,
const double *  Sigma,
int  pq,
double  tol,
double *  ans
 

Absolute values of standardized statistics

Parameters:
t the vector of statistics
mu expectations
Sigma covariance matrix
pq dimension of t
tol tolerance for variances
ans return value; a pointer to a REALSXP-vector of length pq

Definition at line 49 of file TestStatistic.c.

References C_abs(), and C_standardize().

Referenced by C_maxabsTestStatistic().

Here is the call graph for this function:

double C_maxabsTestStatistic const double *  t,
const double *  mu,
const double *  Sigma,
int  pq,
double  tol
 

Maximum absolute values of standardized statistics

Parameters:
t the vector of statistics
mu expectations
Sigma covariance matrix
pq dimension of t
tol tolerance for variances

Definition at line 66 of file TestStatistic.c.

References C_absstandardize(), and C_max().

Referenced by C_TestStatistic(), and R_maxabsTestStatistic().

Here is the call graph for this function:

double C_quadformTestStatistic const double *  t,
const double *  mu,
const double *  SigmaPlus,
int  pq
 

Quadratic form t(t - mu) SigmaPlus (t - mu)

Parameters:
t the vector of statistics
mu expectations
SigmaPlus Moore-Penrose inverse
pq dimension of t

Definition at line 110 of file TestStatistic.c.

Referenced by C_TestStatistic(), and R_quadformTestStatistic().

void C_standardize const double *  t,
const double *  mu,
const double *  Sigma,
int  pq,
double  tol,
double *  ans
 

Standardizes a statistic t of length pq with mean mu and covariance Sigma for variances > tol

Parameters:
t the vector of statistics
mu expectations
Sigma covariance matrix
pq dimension of t
tol tolerance for variances
ans return value; a pointer to a REALSXP-vector of length pq

Definition at line 23 of file TestStatistic.c.

Referenced by C_absstandardize(), C_Node(), and R_splitcategorical().

SEXP R_maxabsTestStatistic SEXP  t,
SEXP  mu,
SEXP  Sigma,
SEXP  tol
 

R-interface to C_maxabsTestStatistic

Parameters:
t the vector of statistics
mu expectations
Sigma covariance matrix
tol tolerance for variances

Definition at line 87 of file TestStatistic.c.

References C_maxabsTestStatistic().

Here is the call graph for this function:

SEXP R_quadformTestStatistic SEXP  t,
SEXP  mu,
SEXP  SigmaPlus
 

R-interface to C_quadformTestStatistic

Parameters:
t the vector of statistics
mu expectations
SigmaPlus Moore-Penrose inverse

Definition at line 140 of file TestStatistic.c.

References C_quadformTestStatistic().

Here is the call graph for this function:


Generated on Fri Aug 25 14:32:12 2006 for party by  doxygen 1.4.4