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LinearStatistic.h File Reference

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Functions

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


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 101 of file LinearStatistic.c.

References PL2_covarianceSym, PL2_expectationSym, and PL2_sumweightsSym.

Referenced by C_GlobalTest(), C_LinStatExpCov(), C_surrogates(), and 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 213 of file LinearStatistic.c.

References C_kronecker(), PL2_covarianceSym, PL2_expectationSym, and PL2_sumweightsSym.

Referenced by C_LinStatExpCov(), and R_ExpectCovarLinearStatistic().

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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 23 of file LinearStatistic.c.

Referenced by C_LinStatExpCov(), C_MonteCarlo(), and 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 351 of file LinearStatistic.c.

Referenced by C_MonteCarlo(), 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 171 of file LinearStatistic.c.

References C_ExpectCovarInfluence(), ncol(), nrow(), PL2_covarianceSym, PL2_expectationSym, and PL2_sumweightsSym.

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