LinearStatistic.c File Reference

#include "coin_common.h"

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Functions
void	C_kronecker (const double *A, const int m, const int n, const double *B, const int r, const int s, double *ans)
SEXP	R_kronecker (SEXP A, SEXP B)
void	C_ExpectCovarInfluence (const double *y, const int q, const double *weights, const int n, SEXP ans)
SEXP	R_ExpectCovarInfluence (SEXP y, SEXP weights)
void	C_ExpectCovarLinearStatistic (const double *x, const int p, const double *y, const int q, const double *weights, const int n, const SEXP expcovinf, SEXP ans)
SEXP	R_ExpectCovarLinearStatistic (SEXP x, SEXP y, SEXP weights, SEXP expcovinf)
void	C_LinearStatistic (const double *x, const int p, const double *y, const int q, const double *weights, const int n, double *ans)
SEXP	R_LinearStatistic (SEXP x, SEXP y, SEXP weights)
void	C_PermutedLinearStatistic (const double *x, const int p, const double *y, const int q, const int n, const int nperm, const int *indx, const int *perm, double *ans)
SEXP	R_PermutedLinearStatistic (SEXP x, SEXP y, SEXP indx, SEXP perm)

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Detailed Description

Linear statistics for conditional inference

Author:

Author:

hothorn

Date:

Date:

2007-02-15 09:25:46 +0100 (Thu, 15 Feb 2007)

Definition in file LinearStatistic.c.

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Function Documentation

void C_ExpectCovarInfluence	(	const double *	y,
		const int	q,
		const double *	weights,
		const int	n,
		SEXP	ans
	)

Conditional expectation and covariance of the influence function

Parameters:

	y	values of the influence function
	q	dimension of the influence function
	weights	case weights
	n	number of observations
	ans	return value; an object of class `ExpectCovarInfluence'

Definition at line 80 of file LinearStatistic.c.

References coin_covarianceSym, coin_expectationSym, and coin_sumweightsSym.

Referenced by R_ExpectCovarInfluence().

void C_ExpectCovarLinearStatistic	(	const double *	x,
		const int	p,
		const double *	y,
		const int	q,
		const double *	weights,
		const int	n,
		const SEXP	expcovinf,
		SEXP	ans
	)

Conditional expectation and covariance of the a linear statistic

Parameters:

	x	values of the transformation
	p	dimension of the transformation
	y	values of the influence function
	q	dimension of the influence function
	weights	case weights
	n	number of observations
	expcovinf	an object of class `ExpectCovarInfluence'
	ans	return value; an object of class `ExpectCovar'

Definition at line 192 of file LinearStatistic.c.

References C_kronecker(), coin_covarianceSym, coin_expectationSym, and coin_sumweightsSym.

Referenced by R_ExpectCovarLinearStatistic().

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void C_kronecker	(	const double *	A,
		const int	m,
		const int	n,
		const double *	B,
		const int	r,
		const int	s,
		double *	ans
	)

Computes the Kronecker product of two matrices

Parameters:

	A	matrix
	m	nrow(A)
	n	ncol(A)
	B	matrix
	r	nrow(B)
	s	ncol(B)
	ans	return value; a pointer to a REALSXP-vector of length (mr x ns)

Definition at line 22 of file LinearStatistic.c.

Referenced by C_ExpectCovarLinearStatistic(), and R_kronecker().

void C_LinearStatistic	(	const double *	x,
		const int	p,
		const double *	y,
		const int	q,
		const double *	weights,
		const int	n,
		double *	ans
	)

Computes the linear statistic, formula (1) in the paper

Parameters:

	x	values of the transformation
	p	dimension of the transformation
	y	values of the influence function
	q	dimension of the influence function
	weights	case weights
	n	number of observations
	ans	return value; a pointer to a REALSXP-vector of length pq

Definition at line 327 of file LinearStatistic.c.

Referenced by R_LinearStatistic().

void C_PermutedLinearStatistic	(	const double *	x,
		const int	p,
		const double *	y,
		const int	q,
		const int	n,
		const int	nperm,
		const int *	indx,
		const int *	perm,
		double *	ans
	)

Linear Statistic with permuted indices

Parameters:

	x	values of the transformation
	p	dimension of the transformation
	y	values of the influence function
	q	dimension of the influence function
	n	number of observations
	nperm	number of permutations
	indx	indices for the x-part
	perm	(permuted) indices for the y-part
	ans	return value; a pointer to a REALSXP-vector of length pq

Definition at line 409 of file LinearStatistic.c.

Referenced by R_MonteCarloIndependenceTest(), and R_PermutedLinearStatistic().

SEXP R_ExpectCovarInfluence	(	SEXP	y,
		SEXP	weights
	)

R-interface to C_ExpectCovarInfluence

Parameters:

	y	values of the influence function
	weights	case weights

Definition at line 150 of file LinearStatistic.c.

References C_ExpectCovarInfluence(), coin_covarianceSym, coin_expectationSym, coin_sumweightsSym, ncol(), and nrow().

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SEXP R_ExpectCovarLinearStatistic	(	SEXP	x,
		SEXP	y,
		SEXP	weights,
		SEXP	expcovinf
	)

R-interface to C_ExpectCovarLinearStatistic

Parameters:

	x	values of the transformation
	y	values of the influence function
	weights	case weights
	expcovinf	an object of class `ExpectCovarInfluence'

Definition at line 285 of file LinearStatistic.c.

References C_ExpectCovarLinearStatistic(), coin_covarianceSym, coin_expectationSym, ncol(), and nrow().

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SEXP R_kronecker	(	SEXP	A,
		SEXP	B
	)

R-interface to C_kronecker

Parameters:

	A	matrix
	B	matrix

Definition at line 51 of file LinearStatistic.c.

References C_kronecker(), ncol(), and nrow().

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SEXP R_LinearStatistic	(	SEXP	x,
		SEXP	y,
		SEXP	weights
	)

R-interface to C_LinearStatistic

Parameters:

	x	values of the transformation
	y	values of the influence function
	weights	case weights

Definition at line 363 of file LinearStatistic.c.

References C_LinearStatistic(), ncol(), and nrow().

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SEXP R_PermutedLinearStatistic	(	SEXP	x,
		SEXP	y,
		SEXP	indx,
		SEXP	perm
	)

Linear Statistic with permuted indices

Parameters:

	x	values of the transformation
	y	values of the influence function
	indx	indices for the x-part
	perm	(permuted) indices for the y-part

Definition at line 442 of file LinearStatistic.c.

References C_PermutedLinearStatistic(), ncol(), and nrow().

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