Added theta estimation methods

man/pcm.Rd

@@ -11,7 +11,8 @@ pcm(
   dif.items = NULL,
   type.dif = NULL,
   verbose = T,
-  fit = "ucminf"
+  fit = "ucminf",
+  method.theta = "eap"
 )
 }
 \arguments{
@@ -24,6 +25,12 @@ pcm(
 \item{dif.items}{vector containing the list of indexes in "items" corresponding to dif items}
 
 \item{type.dif}{vector containing DIF form for each item specified in dif.items. 1 is homogeneous DIF, 0 is heterogeneous DIF}
+
+\item{verbose}{set to TRUE to print a detailed output, FALSE otherwise}
+
+\item{fit}{string determining the optimization algorithm. Values "ucminf" or "nlminb" ar recommended}
+
+\item{method.theta}{string determining the estimation method for individual latent variable values. Either "eap", "mle" or "wle"}
 }
 \value{
 A data.frame containing various model outputs

man/residif.Rd

@@ -4,7 +4,7 @@
 \alias{residif}
 \title{RESIDIF procedure for DIF detection as per Andrich and Hagquist (2015)}
 \usage{
-residif(df = NULL, items = NULL, grp = NULL, verbose = T)
+residif(df = NULL, items = NULL, grp = NULL, method.theta = "eap", verbose = T)
 }
 \arguments{
 \item{df}{data.frame containing the data}
@@ -12,6 +12,10 @@ residif(df = NULL, items = NULL, grp = NULL, verbose = T)
 \item{items}{vector containing the names of columns where item responses are stored in df}
 
 \item{grp}{vector containing the name of the column where an optional group membership variable is stored in df}
+
+\item{method.theta}{string determining the estimation method for individual latent variable values. Either "eap", "mle" or "wle"}
+
+\item{verbose}{set to TRUE to print a detailed output, FALSE otherwise}
 }
 \value{
 A data.frame containing a column listing the detected DIF item and another listing detected DIF forms