small correction in argument desciption

Author: sagebiej

R/sim_choice.R

@@ -4,7 +4,7 @@
 #' @param no_sim Number of runs i.e. how often do you want the simulation to be repeated
 #' @param respondents Number of respondents. How many respondents do you want to simulate in each run.
 #' @param u A list with utility functions. The list can incorporate as many decision rule groups as you want. However, each group must be in a list in this list. If you just use one group (the normal),  this  group still  has to be in a list in  the u list. As a convention name beta coefficients starting with a lower case "b"
-#' @param estimate If TRUE models will be estimated. If false only a dataset will be simulated. Default is true
+#' @param estimate If TRUE models will be estimated. If false only a dataset will be simulated. Default is TRUE
 #' @inheritParams readdesign
 #' @inheritParams simulate_choices
 #' @param chunks The number of chunks determines how often results should be stored on disk as a safety measure to not loose simulations if models have already been estimated. For example, if no_sim is 100 and chunks = 2, the data will be saved on disk after 50 and after 100 runs.