| Name : R-cjbart
| |
| Version : 0.3.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.7.1
| Date : 2024-06-11 01:07:25
|
| Group : Development/Libraries/Other
| Source RPM : R-cjbart-0.3.2-lp155.7.1.src.rpm
|
| Size : 0.77 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Heterogeneous Effects Analysis of Conjoint Experiments
|
Description :
A tool for analyzing conjoint experiments using Bayesian Additive
Regression Trees (\'BART\'), a machine learning method developed by
Chipman, George and McCulloch (2010) < doi:10.1214/09-AOAS285>. This
tool focuses specifically on estimating, identifying, and visualizing
the heterogeneity within marginal component effects, at the
observation- and individual-level. It uses a variable importance
measure (\'VIMP\') with delete-d jackknife variance estimation, following
Ishwaran and Lu (2019) < doi:10.1002/sim.7803>, to obtain bias-corrected
estimates of which variables drive heterogeneity in the predicted
individual-level effects.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
