Changes in version 0.3.2 (2023-09-06) - Update documentation: correct details line for cjbart(). - Add compatibility so passing seed argument on Windows returns warning rather than error - Add unit tests for OS compatibility Changes in version 0.3.1 (2023-06-07) - Fix documentation: to plot the variable importance grid, the x argument takes the result of calling het_vimp() and not IMCE() as previously documented (in v0.3.0) - Update package dependencies Changes in version 0.3.0 (2023-04-11) - Rename arguments in het_vimp() from model to imces and outcomes to levels for consistency across functions - Change het_vimp() so it returns a list, including the results and an attribute-level look-up table - Added ability to run het_vimp() calculation in parallel - Fixed bug when predicting continuous conjoint outcomes - Add new pIMCE() function to calculate population individual-level marginal component effects - Add new AMCE() function that includes Bayesian uncertainty estimate - Add check for unique levels across attributes. If not, the attribute-level values are modified to ensure uniqueness - Add functionality to improve quality of outputs - Update the vignette to reflect new functionality - Add ability to drop attributes from IMCE analysis - Remove dependencies not needed Changes in version 0.2.2 (2022-03-02) - Re-release after dependencies back on CRAN Changes in version 0.2.1 (2022-02-14) - Minor internal changes to keep pace with R development - Minor changes to vignette wording Changes in version 0.2.0 (2021-11-03) - Addresses unbalanced chunk delimiters in package vignette - Adds new functionality for analyzing heterogeneity after IMCE prediction using random forest variable importance measures Changes in version 0.1.0 (2021-05-25) - First release including all core functionality - Includes wrapper of BART estimation, IMCE prediction, and generics