add missing author info

R/DIF.R

@@ -65,6 +65,7 @@
 #'   Adjustments are located in the \code{adj_pvals} element in the returned list
 #' @param verbose logical print extra information to the console?
 #' @param ... additional arguments to be passed to \code{\link{multipleGroup}} and \code{plot}
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords DIF
 #' @seealso \code{\link{multipleGroup}}

R/M2.R

@@ -33,6 +33,7 @@
 #'   this value will be returned, while all values less than this value will be set to NA.
 #'   Must be used in conjunction with the argument \code{residmat = TRUE}
 #' @param ... additional arguments to pass
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @references
 #' Cai, L. & Hansen, M. (2013). Limited-information goodness-of-fit testing of

R/MDIFF.R

@@ -4,6 +4,7 @@
 #'
 #' @aliases MDIFF
 #' @param x an object of class 'SingleGroupClass'
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @references
 #' Reckase, M. D. (2009). Multidimensional Item Response Theory. Springer.

R/MDISC.R

@@ -4,6 +4,7 @@
 #'
 #' @aliases MDISC
 #' @param x an object of class 'SingleGroupClass'
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @references
 #' Reckase, M. D. (2009). Multidimensional Item Response Theory. Springer.

R/PLCI.mirt.R

@@ -13,6 +13,8 @@
 #' @param plot logical; plot the parameter relationship in the likelihood space for two parameters?
 #' @param npts number of points to evaluate and plot if \code{plot = TRUE}
 #' @param ... additional arguments to pass to the estimation functions
+#'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords profiled likelihood
 #' @export PLCI.mirt
 #' @seealso

R/averageMI.R

@@ -10,6 +10,8 @@
 #' @param SEpar a list containing standard errors associated with \code{par}
 #' @param as.data.frame logical; return a data.frame instead of a list? Default is TRUE
 #' @param digits number of digits to round result. Default is 4
+#'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @return returns a list or data.frame containing the updated averaged parameter estimates,
 #'   standard errors, and t-values with the associated degrees of freedom and two tailed p-values
 #' @keywords multiple imputation

R/boot.mirt.R

@@ -11,6 +11,8 @@
 #' @param technical technical arguments passed to estimation engine. See \code{\link{mirt}}
 #'   for details
 #' @param ... additional arguments to be passed on to \code{boot(...)} and estimation engine
+#'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords bootstrapped standard errors
 #' @export boot.mirt
 #' @seealso

R/createItem.R

@@ -28,6 +28,7 @@
 #'   then the bounds will be set to -Inf
 #' @param ubound optional vector indicating the lower bounds of the parameters. If not specified
 #'   then the bounds will be set to Inf
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords createItem
 #' @export createItem

R/empirical_rxx.R

@@ -6,6 +6,8 @@
 #' @aliases empirical_rxx
 #' @param Theta_SE a matrix of latent trait estimates returned from \code{\link{fscores}} with the options
 #'   \code{full.scores = TRUE} and \code{full.scores.SE = TRUE}
+#'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords reliability
 #' @export empirical_rxx
 #' @seealso \code{\link{fscores}}, \code{\link{marginal_rxx}}

R/expand.table.R

@@ -10,6 +10,7 @@
 #' @param sample logical; randomly switch the rows in the expanded table? This does not change the
 #'   expanded data, only the row locations
 #' @return Returns a numeric matrix with all the response patterns.
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords data
 #' @export expand.table

R/expected.item.R

@@ -8,6 +8,8 @@
 #' @param Theta a vector (unidimensional) or matrix (multidimensional) of latent trait values
 #' @param min a constant value added to the expected values indicating the lowest theoretical
 #'   category. Default is 0
+#'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords expected value
 #' @export expected.item
 #' @seealso \code{\link{extract.item}}, \code{\link{expected.test}}

R/extract.group.R

@@ -5,6 +5,8 @@
 #' @aliases extract.group
 #' @param x mirt model of class 'MultipleGroupClass'
 #' @param group a number signifying which group should be extracted
+#'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords extract
 #' @seealso \code{\link{extract.item}}, \code{\link{extract.mirt}}
 #' @export extract.group

R/extract.mirt.R

@@ -65,6 +65,7 @@
 #'   'DiscreteGroupClass'
 #' @param what a string indicating what to extract
 #'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords extract
 #' @seealso \code{\link{extract.group}}, \code{\link{extract.item}}, \code{\link{mod2values}}
 #' @export extract.item

R/fixef.R

@@ -5,6 +5,7 @@
 #' @aliases fixef
 #' @param x an estimated model object from the \code{\link{mixedmirt}} or \code{\link{mirt}}
 #'   function
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @seealso \code{\link{mirt}}, \code{\link{mixedmirt}}
 #' @keywords fixed effects

R/fscores.R

@@ -90,6 +90,7 @@
 #'   such as EAP and EAPsum). Value is a reflection of the \code{code} element from \code{\link{nlm}}
 #'   (e.g., 1 indicates convergence)
 #' @param ... additional arguments to be passed to \code{nlm}
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords factor.scores
 #' @seealso \code{\link{averageMI}}

R/imputeMissing.R

@@ -10,6 +10,7 @@
 #' @param Theta a matrix containing the estimates of the latent trait scores
 #'   (e.g., via \code{\link{fscores}})
 #' @param ... additional arguments to pass
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords impute data
 #' @export imputeMissing

R/itemGAM.R

@@ -21,6 +21,8 @@
 #'   should be inspected directly, but also when fitting multidimensional models (this is set to
 #'   TRUE automatically for multidimensional models)
 #' @param ... additional arguments to be passed to \code{gam} or \code{lattice}
+#'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords item fit, traceline
 #' @seealso \code{\link{itemfit}}
 #' @export itemGAM

R/iteminfo.R

@@ -11,6 +11,7 @@
 #' @param total.info logical; return the total information curve for the item? If \code{FALSE},
 #'   information curves for each category are returned as a matrix
 #'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords information
 #' @seealso
 #' \code{\link{extract.item}}

R/itemplot.R

@@ -34,6 +34,7 @@
 #' @param par.strip.text plotting argument passed to \code{\link{lattice}}
 #' @param par.settings plotting argument passed to \code{\link{lattice}}
 #' @param ... additional arguments to be passed to \code{\link{lattice}} and \code{coef()}
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords plot
 #' @export itemplot

R/key2binary.R

@@ -11,6 +11,7 @@
 #'   in the case of a matrix input, no additional scoring keys)
 #' @return Returns a numeric matrix with all the response patterns in
 #'   dichotomous format
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @export key2binary
 #' @examples

R/marginal_rxx.R

@@ -9,6 +9,8 @@
 #'   normal (Gaussian) distribution
 #' @param theta_lim a vector containing the range of integration
 #' @param ... additional arguments passed to the density function
+#'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords reliability
 #' @export marginal_rxx
 #' @seealso \code{\link{empirical_rxx}}, \code{\link{extract.group}}, \code{\link{testinfo}}

R/mdirt.R

@@ -43,6 +43,7 @@
 #' @param ... additional arguments to be passed to the estimation engine. See \code{\link{mirt}}
 #'   for more details and examples
 #'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @seealso \code{\link{fscores}}, \code{\link{mirt.model}}, \code{\link{M2}},
 #'   \code{\link{itemfit}}, \code{\link{boot.mirt}}, \code{\link{mirtCluster}},
 #'   \code{\link{wald}}, \code{\link{coef-method}}, \code{\link{summary-method}},

R/mirtCluster.R

@@ -12,6 +12,7 @@
 #'   passed to \code{parallel::makeCluster()}. If no input is given the maximum number of available
 #'   cores will be used
 #' @param remove logical; remove previously defined \code{mirtCluster()}?
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords parallel
 #' @export mirtCluster

R/mod2values.R

@@ -7,6 +7,7 @@
 #'
 #' @aliases mod2values
 #' @param x an estimated model x from the mirt package
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords convert model
 #' @export mod2values

R/multipleGroup.R

@@ -44,9 +44,9 @@
 #'   (default is \code{'EM'}). See \code{\link{mirt}} for details
 #' @param ... additional arguments to be passed to the estimation engine. See \code{\link{mirt}}
 #'   for details and examples
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
-#' @seealso \code{\link{mirt}}, \code{\link{DIF}}, \code{\link{extract.group}}
-#   \code{\link{DTF}}
+#' @seealso \code{\link{mirt}}, \code{\link{DIF}}, \code{\link{extract.group}}, \code{\link{DTF}}
 #' @keywords models
 #' @export multipleGroup
 #' @examples

R/personfit.R

@@ -16,6 +16,7 @@
 #' @param stats.only logical; return only the person fit statistics without their associated
 #'   response pattern?
 #' @param ... additional arguments to be passed to \code{fscores()}
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords person fit
 #' @export personfit

R/probtrace.R

@@ -8,6 +8,8 @@
 #' @param Theta a vector (unidimensional) or matrix (unidimensional/multidimensional) of
 #'   latent trait values
 #' @keywords tracelines
+#'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @export probtrace
 #' @seealso
 #' \code{\link{extract.item}}

R/randef.R

@@ -8,6 +8,7 @@
 #' @param ndraws total number of draws to perform. Default is 1000
 #' @param thin amount of thinning to apply. Default is to use every 10th draw
 #' @param return.draws logical; return a list containing the thinned draws of the posterior?
+#'
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords random effects
 #' @export randef

R/testinfo.R

@@ -9,6 +9,8 @@
 #'   Only applicable when the input object is multidimensional
 #' @param group a number signifying which group the item should be extracted from (applies to
 #'   'MultipleGroupClass' objects only)
+#'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords information
 #' @export testinfo
 #' @examples

R/wald.R

@@ -14,6 +14,8 @@
 #'   \code{multipleGroup}, \code{mixedmirt}, or \code{mdirt}
 #' @param C a constant vector of population parameters to be compared along side L, where
 #'   \code{length(C) == ncol(L)}. By default a vector of 0's is constructed
+#'
+#' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @keywords wald
 #' @export wald
 #' @examples