Update parms for Rd

.Rbuildignore

@@ -8,3 +8,5 @@
 ^README\.Rmd$
 ^CRAN-RELEASE$
 ^LICENSE$
+^doc$
+^Meta$

.gitignore

@@ -1,3 +1,5 @@
 inst/doc
 revdep/
 .Rproj.user
+/doc/
+/Meta/

R/clm_MI_CR.R

@@ -1,6 +1,7 @@
 #' Apply Copy-Reference(CR) Method to Update JAGS MCMC outputs under MAR for Cumulative Logistic Model
 #'
 #' Internal function to obtain Copy-Reference(CR) MCMC from an MAR object.
+#' @inheritParams commParams
 #' @param object an object of class remoid
 #' @param treatment the variable name of treatment. Reference level of treatment should be coded as 0.
 #' @param start first iteration to be used.

R/clm_MI_delta.R

@@ -1,6 +1,7 @@
 #' Apply Delta adjustment to Update JAGS MCMC outputs under MAR for Cumulative Logistic Model
 #'
 #' Internal function to obtain delta-adjusted MCMC from an MAR object.
+#' @inheritParams commParams
 #' @param object an object of class remiod
 #' @param treatment the variable name of treatment. Reference level of treatment should be coded as 0.
 #' @param delta specific value used for Delta adjustment, applicable only

R/get_MI_RB.R

@@ -5,6 +5,7 @@
 #' onto each other (i.e., long format; optionally including the original,
 #' incomplete data).\cr
 #'
+#' @inheritParams commParams
 #' @param object an object of class JointAI
 #' @param treatment the variable name of treatment. Reference level of treatment should be coded as 0.
 #' @param method a method for obtaining multiple-imputed dataset. Options

R/tang_MI_RB.R

@@ -4,16 +4,17 @@
 #' imputation method with the algorithm of Tang's sequential modeling.
 #'
 #' @inheritParams commParams
-#'
+#' @param dtimp imputed complete data sets from \code{remiod} function.
+#' @param treatment name of the treatment variable.
+#' @param thin thinning to be applied.
 #' @return multiple imputed datasets stacked onto each other (i.e., long format;
 #' optionally including the original incomplete data).\cr
 #' The variable \code{Imputation_} indexes the imputation, while
 #'         \code{.rownr} links the rows to the rows of the original data.
 #'         In cross-sectional datasets the
 #'         variable \code{.id} is added as subject identifier.
 #'
-#' @param dtimp imputed complete data sets from \code{remiod} function.
-#' @param treatment treatment variable.
+
 
 tang_MI_RB = function(object, dtimp, treatment, method="MAR", delta=0, ord_cov_dummy=FALSE,
                       exclude_chains=NULL, include=FALSE, thin=1){