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## File Name: tam_pv_sampling_beta.R
## File Version: 0.13
tam_pv_sampling_beta <- function( theta1, ndim, Y, pweights, eps=1E-8 )
{
# bootstrap sample of persons to get sampled beta coefficients
if ( ndim > 1 ){
N <- nrow(theta1)
ind <- sample( 1:N, N, replace=TRUE)
theta1 <- theta1[ ind, ]
Y1 <- Y[ ind,, drop=FALSE ]
} else {
N <- length(theta1)
ind <- sample( 1:N, N, replace=TRUE)
theta1 <- theta1[ ind ]
Y1 <- Y[ ind,, drop=FALSE ]
}
#-- fit linear model
modlm <- stats::lm( theta1 ~ -1 + as.matrix(Y1), weights=pweights[ind])
beta <- modlm$coef # sampled regression coefficients
if ( sum( is.na(beta) ) >=0 ){
C <- as.matrix(Y1)
C1 <- crossprod(C)
diag(C1) <- diag(C1)*(1 + eps)
D <- crossprod(C, theta1 )
beta <- solve(C1) %*% D
}
if ( ndim==1 ){
beta <- matrix( beta, ncol=1 )
}
return(beta)
}
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