Merge pull request #15 from mayer79/latex

Fix Latex problem in MacOS help files

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: confintr
 Title: Confidence Intervals
-Version: 1.0.1
+Version: 1.0.2
 Authors@R: 
     person("Michael", "Mayer", , "mayermichael79@gmail.com", role = c("aut", "cre"))
 Description: Calculates classic and/or bootstrap confidence intervals for

NEWS.md

@@ -1,3 +1,9 @@
+# confintr 1.0.2
+
+## Maintenance
+
+- Fix Latex problem in MacOS help files.
+
 # confintr 1.0.1
 
 ## Maintenance

R/ci_cramersv.R

@@ -44,7 +44,7 @@ cramersv <- function(x) {
 #' we round down to 0 the lower bound for Cramer's V as well.
 #' Without this slightly conservative adjustment, the lower limit for V would always be
 #' positive since the CI for V is found by
-#' \eqn{\sqrt{(\text{CI for NCP} + \text{df})/(n \cdot (k - 1))}}, where \eqn{k} is the
+#' \eqn{\sqrt{(\textrm{CI for NCP} + \textrm{df})/(n \cdot (k - 1))}}, where \eqn{k} is the
 #' smaller number of levels in the two variables (see Smithson, p.40).
 #' Use `test_adjustment = FALSE` to switch off this behaviour. Note that this is
 #' also a reason to bootstrap V via NCP instead of directly bootstrapping V.

R/ci_rsquared.R

@@ -3,8 +3,8 @@
 #' This function calculates parametric CIs for the population \eqn{R^2}.
 #' It is based on CIs for the non-centrality parameter \eqn{\Delta} of the F
 #' distribution found by test inversion. Values of \eqn{\Delta} are mapped to \eqn{R^2}
-#' by \eqn{R^2 = \Delta / (\Delta + \text{df}_1 + \text{df}_2 + 1)},
-#' where the \eqn{\text{df}_j} are the degrees of freedom of the F test statistic.
+#' by \eqn{R^2 = \Delta / (\Delta + \textrm{df}_1 + \textrm{df}_2 + 1)},
+#' where the \eqn{\textrm{df}_j} are the degrees of freedom of the F test statistic.
 #' A positive lower \eqn{(1 - \alpha) \cdot 100\%}-confidence limit for the \eqn{R^2}
 #' goes hand-in-hand with a significant F test at level \eqn{\alpha}.
 #'

packaging.R

@@ -15,7 +15,7 @@ library(usethis)
 use_description(
   fields = list(
     Title = "Confidence Intervals",
-    Version = "1.0.1",
+    Version = "1.0.2",
     Description = "Calculates classic and/or bootstrap confidence intervals for many parameters such as the population mean, variance, interquartile range (IQR), median absolute deviation (MAD), skewness, kurtosis, Cramer's V, odds ratio, R-squared, quantiles (incl. median), proportions, different types of correlation measures, difference in means, quantiles and medians. Many of the classic confidence intervals are described in Smithson, M. (2003, ISBN: 978-0761924999). Bootstrap confidence intervals are calculated with the R package 'boot'. Both one- and two-sided intervals are supported.",
     `Authors@R` = "person('Michael', 'Mayer', email = 'mayermichael79@gmail.com', role = c('aut', 'cre'))",
     Depends = "R (>= 3.1.0)",