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man/bpcm.Rd

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