| Name : R-CBPS
| |
| Version : 0.23
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.3.1
| Date : 2024-09-10 02:06:56
|
| Group : Development/Libraries/Other
| Source RPM : R-CBPS-0.23-lp156.3.1.src.rpm
|
| Size : 0.36 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Covariate Balancing Propensity Score
|
Description :
Implements the covariate balancing propensity score (CBPS) proposed by
Imai and Ratkovic (2014) < DOI:10.1111/rssb.12027>. The propensity score
is estimated such that it maximizes the resulting covariate balance as
well as the prediction of treatment assignment. The method, therefore,
avoids an iteration between model fitting and balance checking. The
package also implements optimal CBPS from Fan et al. (in-press)
< DOI:10.1080/07350015.2021.2002159>, several extensions of the CBPS
beyond the cross-sectional, binary treatment setting. They include the
CBPS for longitudinal settings so that it can be used in conjunction
with marginal structural models from Imai and Ratkovic (2015)
< DOI:10.1080/01621459.2014.956872>, treatments with three- and
four-valued treatment variables, continuous-valued treatments from
Fong, Hazlett, and Imai (2018) < DOI:10.1214/17-AOAS1101>, propensity
score estimation with a large number of covariates from Ning, Peng, and
Imai (2020) < DOI:10.1093/biomet/asaa020>, and the situation with
multiple distinct binary treatments administered simultaneously. In the
future it will be extended to other settings including the
generalization of experimental and instrumental variable estimates.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
