37 lines
1013 B
R
37 lines
1013 B
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/bpcm.R
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\name{bpcm}
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\alias{bpcm}
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\title{Compute Bayesian Partial Credit Model (BPCM) for polytomous and dichotomous items}
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\usage{
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bpcm(
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df = NULL,
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grp = NULL,
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is.dif = NULL,
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is.unif = NULL,
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priors = NULL,
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param = list(),
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verbose = T,
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diag.plots = F
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)
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}
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\arguments{
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\item{df}{data.frame containing the response data}
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\item{grp}{vector containing the column where an optional group membership variable is stored in df}
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\item{is.dif}{indicator vector containing 1 at the inded of each DIF item in df and 0 otherwise}
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\item{is.unif}{indicator vector containing 1 at the inded of each uniform DIF item in df and 0 otherwise}
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\item{diag.plots}{boolean indicating whether the JAGS diagnosis plots should be displayed}
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\item{prior}{prior function to be used}
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}
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\value{
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A data.frame containing various model outputs
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}
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\description{
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This function computes a bayesian PCM, potentially accounting for DIF on specified items
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}
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