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