small fixes to projoint and 03-predict

R/projoint.R

@@ -17,7 +17,7 @@
 #' @param .se_method By default, \code{c("analytic", "simulation", "bootstrap")} description
 #' @param .irr \code{NULL} (default) if IRR is to be calculated using the repeated task. Otherwise, a numerical value
 #' @param .remove_ties Logical: should ties be removed before estimation? Defaults to \code{TRUE}.
-#' @param .ignore_position NULL (default) if \code{.structure = "profile_level"}. Set to TRUE if you ignore the position of profile (left or right); FALSE if the relative positioning of profiles matters for analysis. If  \code{.structure = "profile_level"} and this argument is \code{NULL}, it is automatically reset to \code{TRUE}.
+#' @param .ignore_position NULL (default) if \code{.structure = "profile_level"}. Set to TRUE if you ignore the position of profile (left or right); FALSE if the relative positioning of profiles matters for analysis. If  \code{.structure = "choice_level"} and this argument is \code{NULL}, it is automatically reset to \code{TRUE}.
 #' @param .n_sims The number of simulations. Relevant only if \code{.se_method == "simulation"} 
 #' @param .n_boot The number of bootstrapped samples. Relevant only if \code{.se_method == "bootstrap"}
 #' @param .weights_1 the weight to estimate IRR (see \code{\link[estimatr]{lm_robust}}): \code{NULL} (default)

vignettes/03-predict.Rmd

@@ -9,7 +9,7 @@ vignette: >
   %\VignetteEncoding{UTF-8}
 ---
 
-We use two methods to estimate intra-respondent reliability (IRR). The first-best method requires researchers to add a repeated task to their conjoint survey, but is the most reliable. The second method, which uses linear extrapolation, does not require a repeated task but is noisier. If no repeated task is specified, we can use the `predict_tau` function to pe
+We use two methods to estimate intra-respondent reliability (IRR). The first-best method requires researchers to add a repeated task to their conjoint survey, but is the most reliable. The second method, which uses linear extrapolation, does not require a repeated task but is noisier. If no repeated task is specified, we can use the `predict_tau` function to perform the extrapolation method and estimate IRR.
 
 ### 3.1 Load the projoint package