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## File Name: coef.rasch.evm.pcm.R | ||
## File Version: 0.11 | ||
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coef.rasch.evm.pcm <- function( object, ... ) | ||
{ | ||
return(object$coef) | ||
} |
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Original file line number | Diff line number | Diff line change |
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## File Name: isop_tests_cpp.R | ||
## File Version: 0.03 | ||
## File Version: 0.04 | ||
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########################################################## | ||
# call to Rcpp function | ||
isop_tests_cpp <- function ( dat, dat.resp, weights, jackunits, JJ ){ | ||
isop_tests_C( dat=dat, dat_resp=dat.resp, weights=weights, | ||
jackunits=jackunits, JJ=JJ ) | ||
isop_tests_cpp <- function( dat, dat.resp, weights, jackunits, JJ ) | ||
{ | ||
res <- isop_tests_C( dat=dat, dat_resp=dat.resp, weights=weights, | ||
jackunits=jackunits, JJ=JJ ) | ||
return(res) | ||
} | ||
############################################################# |
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## File Name: monoreg.colwise.R | ||
## File Version: 0.11 | ||
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# monotone regression for all columns in a matrix | ||
monoreg.colwise <- function(yM, wM) | ||
{ | ||
yM <- as.matrix(t(yM)) | ||
wM <- as.matrix(t(wM)) | ||
res <- sirt_rcpp_monoreg_rowwise( YM=yM, WM=wM ) | ||
return(t(res)) | ||
} |
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## File Name: monoreg.rowwise.R | ||
## File Version: 0.06 | ||
## File Version: 0.09 | ||
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############################################################## | ||
# monotone regression for all rows in a matrix | ||
monoreg.rowwise <- function(yM,wM){ | ||
monoreg.rowwise <- function(yM, wM) | ||
{ | ||
yM <- as.matrix(yM) | ||
wM <- as.matrix(wM) | ||
res <- monoreg_rowwise_Cpp( yM, wM ) | ||
res <- sirt_rcpp_monoreg_rowwise( YM=yM, WM=wM ) | ||
return(res) | ||
} | ||
############################################################## | ||
# monotone regression for all columns in a matrix | ||
monoreg.colwise <- function(yM,wM){ | ||
yM <- as.matrix(yM) | ||
wM <- as.matrix(wM) | ||
res <- monoreg_rowwise_Cpp( t(yM), t(wM) ) | ||
return(t(res)) | ||
} | ||
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