v2.0.5 - fix the documentation 'lost braces' note on CRAN

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: MortalityLaws
 Type: Package
 Title: Parametric Mortality Models, Life Tables and HMD
-Version: 2.0.4
+Version: 2.0.5
 Authors@R: c(
   person("Marius D.", "Pascariu", role = c("aut", "cre", "cph"), email = "mpascariu@outlook.com", comment = c(ORCID = "0000-0002-2568-6489")),
   person("Vladimir", "Canudas-Romo", role = "ctb"))
@@ -30,5 +30,6 @@ Suggests:
   rmarkdown
 URL: https://github.com/mpascariu/MortalityLaws
 BugReports: https://github.com/mpascariu/MortalityLaws/issues
-RoxygenNote: 7.2.3
+Encoding: UTF-8
+RoxygenNote: 7.3.0
 VignetteBuilder: knitr

R/MortalityLaw_main.R

@@ -1,6 +1,6 @@
 # -------------------------------------------------------------- #
 # Author: Marius D. PASCARIU
-# Last Update: Thu Jul 20 21:29:59 2023
+# Last Update: Sun Jan 14 22:27:43 2024
 # -------------------------------------------------------------- #
 
 #' Fit Mortality Laws
@@ -25,14 +25,14 @@
 #'                 show = FALSE, ...)
 #' @details Depending on the complexity of the model, one of following
 #' optimization strategies is employed: \enumerate{
-#'  \item{Nelder-Mead method:}{ approximates a local optimum of a problem with n
+#'  \item Nelder-Mead method: approximates a local optimum of a problem with n
 #'   variables when the objective function varies smoothly and is unimodal.
-#'   For details see \code{\link{optim}}}
-#'  \item{PORT routines:}{ provides unconstrained optimization and optimization
+#'   For details see \code{\link{optim}};
+#'  \item PORT routines: provides unconstrained optimization and optimization
 #'  subject to box constraints for complicated functions. For details check
-#'  \code{\link{nlminb}}}
-#'  \item{Levenberg-Marquardt algorithm:}{ damped least-squares method.
-#'  For details check \code{\link{nls.lm}}}
+#'  \code{\link{nlminb}};
+#'  \item Levenberg-Marquardt algorithm: damped least-squares method.
+#'  For details check \code{\link{nls.lm}}.
 #' }
 #' @inheritParams LifeTable
 #' @param law The name of the mortality law/model to be used. e.g.