dependency fixes with gtsummary, bump to v1.1.2

Author: jhelvy

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: logitr
 Title: Logit Models w/Preference & WTP Space Utility Parameterizations
-Version: 1.1.1
+Version: 1.1.2
 Authors@R: c(
     person(given   = "John",
            family  = "Helveston",

NEWS.md

@@ -1,5 +1,9 @@
 # logitr (development version)
 
+# logitr 1.1.2
+
+- Added `broom.helpers (>= 1.15.0)` and `gtsummary (>= 2.0.0)` in DESCRIPTION to accord with an update in {gtsummary}.
+
 # logitr 1.1.1
 
 - Updated the `convergence.Rmd` vignette to not run any actual code using other packages to fix issue on CRAN where not all packages are available on all platforms. Now the results are hard-coded in place.

R/data.R

@@ -154,7 +154,7 @@
 
 
 
-#' Simulated SP dataset of mode choice (from the {apollo} package).
+#' Simulated SP dataset of mode choice (from the apollo package).
 #'
 #' A simulated dataset containing 7,000 mode choices among four alternatives.
 #' Data comes from 500 individuals, each with 14 stated stated preference
@@ -209,7 +209,7 @@
 
 
 
-#' Stated preference data for the choice of electricity suppliers (from {mlogit} package)
+#' Stated preference data for the choice of electricity suppliers (from mlogit package)
 #'
 #' A sample of 2308 households in the United States.
 #'
@@ -250,8 +250,8 @@
 #'
 #' This data frame contains the run times for a benchmark comparing the
 #' relative computation time to estimate a preference space mixed logit model
-#' using the following R packages: {logitr}, {mixl}, {mlogit}, {gmnl}, and
-#' {apollo}. The run times are exported from the Google colab notebook here:
+#' using the following R packages: logitr, mixl, mlogit, gmnl, and
+#' apollo. The run times are exported from the Google colab notebook here:
 #' https://colab.research.google.com/drive/1vYlBdJd4xCV43UwJ33XXpO3Ys8xWkuxx?usp=sharing
 #'
 #' @format

README.md

@@ -88,6 +88,7 @@ article associated with it! You can get the citation by typing
 
 ``` r
 citation("logitr")
+#> 
 #> To cite logitr in publications use:
 #> 
 #>   Helveston JP (2023). "logitr: Fast Estimation of Multinomial and