fixed roxygen2 issues

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: multinomineq
 Type: Package
 Title: Bayesian Inference for Multinomial Models with Inequality Constraints
-Version: 0.2.5
-Date: 2022-11-21
+Version: 0.2.6
+Date: 2024-02-19
 Authors@R: person("Daniel W.", "Heck", 
                   email = "daniel.heck@uni-marburg.de", 
                   role = c("aut","cre"), 
@@ -52,4 +52,4 @@ LinkingTo:
     RcppArmadillo,
     RcppProgress
 VignetteBuilder: knitr
-RoxygenNote: 7.2.2
+RoxygenNote: 7.3.1

R/data_hilbig2014_heck2017.R

@@ -6,7 +6,7 @@
 #' Each participant made 32 choices for each of 3 item types with four cues (with validities .9, .8, .7, and .6).
 #'
 #' The pattern of cue values of Option A and and B was as follows:
-#' \itemize{
+#' \describe{
 #'   \item{Item Type 1: }{A = (1, 1, 1, -1) vs. B = (-1, 1, -1, 1)}
 #'   \item{Item Type 2: }{A = (1, -1, -1, -1) vs. B = (-1, 1, 1, -1)}
 #'   \item{Item Type 3: }{A = (1, 1, 1, -1) vs. B = (-1, 1, 1, 1)}
@@ -63,7 +63,7 @@
 #' Each participant made 40 choices for each of 4 item types with four cues
 #' (with validities .9, .8, .7, and .6).
 #' The pattern of cue values of Option A and and B was as follows:
-#' \itemize{
+#' \describe{
 #'   \item{Item Type 1: }{A = (-1, 1, 1, -1) vs. B = (-1, -1, -1, -1)}
 #'   \item{Item Type 2: }{A = (1, -1, -1, 1) vs. B = (-1, 1, -1, 1)}
 #'   \item{Item Type 3: }{A = (-1, 1, 1, 1) vs. B = (-1, 1, 1, -1)}

R/data_swop.R

@@ -1,7 +1,7 @@
 #' Strict Weak Order Polytope for 5 Elements and Ternary Choices
 #'
 #' Facet-defining inequalities of the strict weak order mixture model
-#' for all 10 paired comparisons of 5 choice elements {a,b,c,d,e} in a
+#' for all 10 paired comparisons of 5 choice elements \{a,b,c,d,e\} in a
 #' 3-alternative forced-choice task (Regenwetter & Davis-Stober, 2012).
 #'
 #' @format A list with 3 elements:

R/nirt.R

@@ -17,7 +17,7 @@
 #' the latent trait are tested directly.
 #'
 #' The axioms are as follows:
-#' \itemize{
+#' \describe{
 #'   \item{\code{"W1"}: }{Weak row/subject independence: Persons can be ordered on
 #'                       an ordinal scale independent of items.}
 #'   \item{\code{"W2"}: }{Weak column/item independence: Items can be ordered on

R/strategy_multiattribute.R

@@ -23,7 +23,7 @@ as_strategy <- function(pattern, c = .50, ordered = TRUE, prior = c(1, 1)) {
 #'
 #' @return
 #' a \code{strategy} object (a list) with the entries:
-#' \itemize{
+#' \describe{
 #' \item{\code{pattern}: }{a numeric vector encoding the predicted choice pattern by the sign
 #'        (negative = Option A, positive = Option B, 0 = guessing).
 #'       Identical error probabilities are encoded by using the same absolute number

man-roxygen/details_strategy.R

@@ -1,11 +1,11 @@
 #' @return
 #' a \code{strategy} object (a list) with the entries:
-#' \itemize{
+#' \describe{
 #' \item{\code{pattern}: }{a numeric vector encoding the predicted choice pattern by the sign
 #'        (negative = Option A, positive = Option B, 0 = guessing).
 #'       Identical error probabilities are encoded by using the same absolute number
 #'       (e.g., \code{c(-1,1,1)} defines one error probability with A,B,B predictions).}
-#' \item{\code{c}}{upper boundary of error probabilities}
+#' \item{\code{c}: }{upper boundary of error probabilities}
 #' \item{\code{ordered}: }{whether error probabilities are linearly ordered by their absolute value in \code{pattern} (largest error: smallest absolute number)}
 #' \item{\code{prior}: }{a numeric vector with two positive values specifying the shape parameters of the beta prior distribution (truncated to the interval \code{[0,c]}}
 #' \item{\code{label}: }{strategy label (optional)}

src/Makevars

@@ -1,10 +1,7 @@
-# RcppProgress:
-# PKG_LIBS = '$(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS)' $(SHLIB_OPENMP_CXXFLAGS) '$(R_HOME)/bin/Rscript -e "RcppProgress:::CxxFlags()"' $(SHLIB_OPENMP_CFLAGS)
+# RcppProgress requires:
 
 PKG_LIBS = $(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS) $(SHLIB_OPENMP_CXXFLAGS)
 
 PKG_CPPFLAGS = -I../inst/include
 
 PKG_CXXFLAGS =-Ilibsrc $(SHLIB_OPENMP_CXXFLAGS)
-
-CXX_STD = CXX11