testing coverage

markolalovic · Jun 21, 2024 · 8729418 · 8729418
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commit 8729418
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diff --git a/.github/workflows/test-coverage.yaml → .github/workflows/codecov.yaml b/.github/workflows/test-coverage.yaml → .github/workflows/codecov.yaml
@@ -6,10 +6,10 @@ on:
   pull_request:
     branches: [main, master]
 
-name: test-coverage
+name: codecov
 
 jobs:
-  test-coverage:
+  codecov:
     runs-on: ubuntu-latest
     env:
       GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}

diff --git a/R/simulation.R b/R/simulation.R
@@ -14,7 +14,7 @@
 #' cp2 <- c(mu = 1, sd = 2, skew = -0.3)
 #' simulate_likert(n_levels = 7, cp = cp2)
 #' @details
-#' The simulation process uses the following model proposed by Boari and Nai-Ruscone. 
+#' The simulation process uses the following model detailed by Boari and Nai-Ruscone. 
 #' Let \eqn{X} be the continuous variable of interest, measured using Likert scale 
 #' questions with \eqn{K} response categories. The observed discrete variable \eqn{Y} is 
 #' defined as follows:
@@ -43,8 +43,8 @@
 #'
 #' @references
 #' Boari, G. and Nai Ruscone, M. (2015).
-#' A procedure simulating likert scale item responses. 
-#' \emph{Electronic journal of applied statistical analysis} \bold{8(3)}, 288–297.
+#' A procedure simulating Likert scale item responses. 
+#' \emph{Electronic Journal of Applied Statistical Analysis} \bold{8(3)}, 288–297.
 #' \doi{10.1285/i20705948v8n3p288} 
 #' 
 #' @seealso \code{\link{discretize_density}} for details on how to calculate