#include "coin_common.h"

Go to the source code of this file.
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) |
Definition in file LinearStatistic.c.
| 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
| 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
| 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().

| 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
| 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
| 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
| 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
| 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().

| SEXP R_ExpectCovarLinearStatistic | ( | SEXP | x, | |
| SEXP | y, | |||
| SEXP | weights, | |||
| SEXP | expcovinf | |||
| ) |
R-interface to C_ExpectCovarLinearStatistic
| 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().

| SEXP R_kronecker | ( | SEXP | A, | |
| SEXP | B | |||
| ) |
R-interface to C_kronecker
| A | matrix | |
| B | matrix |
Definition at line 51 of file LinearStatistic.c.
References C_kronecker(), ncol(), and nrow().

| SEXP R_LinearStatistic | ( | SEXP | x, | |
| SEXP | y, | |||
| SEXP | weights | |||
| ) |
R-interface to C_LinearStatistic
| 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().

| SEXP R_PermutedLinearStatistic | ( | SEXP | x, | |
| SEXP | y, | |||
| SEXP | indx, | |||
| SEXP | perm | |||
| ) |
Linear Statistic with permuted indices
| 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().

1.5.3