Changes in version 0.6.1 - New version number so that r-universe.dev will pick up the package. - Fixed order of colors for model values in point_plot(). - Added Natality_2014 with 10,000 randomly selected cases from the 3.99M in the "dtkaplan/natality2014" package available by remotes::install_github("dtkaplan/natality2014"). That large data set won't work in WebR installations. - Ungrouped Sessions in College_database.rda and removed redundant College_grades.rda - Added simple shuffle() function. - Added rterm() for demonstrations of degrees of freedom. - trials() avoids name conflicts (per issue #14) Changes in version 0.6.0.9000 - In point_plot(), categorical variables mapped to x now will show model annotations for all levels of x. - A new argument to point_plot(), ncategorical=, controls how many levels will be shown for model annotations for color & faceting variables. Changes in version 0.6 (2024-12-07) Updated CRAN release Changes in version 0.5.1.9003 - Added random_terms() to generate random columns in a model matrix. - Changed the name of the LSTbook function for sampling from "sample()" (which conflicts with other packages) to "take_sample()." All this just because I wanted the size parameter to be named "n" rather than "size"! - Fixed a warning in "model_eval()" that led residuals not being calculated for zero-one response variables. - Fix point_plot so error bars are dodged when there are multiple colors. Changes in version 0.5.1.9002 - Adding documentation stubs for data sources that are too big to include in the package but are available on the web, such as Natality_2014. - Changed the name of the FEV data frame to CRDS ("childhood respiratory disease study") to avoid confusion with the FEV variable. - model_eval() mistakenly changed name of first column to .response even when handed evaluation data directly. Fixed. Changes in version 0.5.1.9001 - print.datasim(), print.model_object() were not being exported. Now they are. Changes in version 0.5.1 - A request for a prediction interval for the output of logistic regression now generates an error rather than a warning. Changes in version 0.5.0 (2024-02-23) First CRAN release