NEWS.md

In cjbart: Heterogeneous Effects Analysis of Conjoint Experiments

cjbart 0.3.2

• 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

cjbart 0.3.1

• 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

cjbart 0.3.0

• 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

cjbart 0.2.2

• Re-release after dependencies back on CRAN

cjbart 0.2.1

• Minor internal changes to keep pace with R development
• Minor changes to vignette wording

cjbart 0.2.0

• Addresses unbalanced chunk delimiters in package vignette
• Adds new functionality for analyzing heterogeneity after IMCE prediction using random forest variable importance measures

cjbart 0.1.0

• First release including all core functionality
• Includes wrapper of BART estimation, IMCE prediction, and generics

cjbart documentation built on Sept. 8, 2023, 5:57 p.m.