| Name : R-PSW
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| Version : 1.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp155.28.1
| Date : 2024-06-10 00:17:19
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| Group : Development/Libraries/Other
| Source RPM : R-PSW-1.1.3-lp155.28.1.src.rpm
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| Size : 0.12 MB
| |
| Packager : https://www_suse_com/
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| Summary : Propensity Score Weighting Methods for Dichotomous Treatments
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Description :
Provides propensity score weighting methods to control for confounding
in causal inference with dichotomous treatments and continuous/binary
outcomes. It includes the following functional modules: (1)
visualization of the propensity score distribution in both treatment
groups with mirror histogram, (2) covariate balance diagnosis, (3)
propensity score model specification test, (4) weighted estimation of
treatment effect, and (5) augmented estimation of treatment effect with
outcome regression. The weighting methods include the inverse
probability weight (IPW) for estimating the average treatment effect
(ATE), the IPW for average treatment effect of the treated (ATT), the
IPW for the average treatment effect of the controls (ATC), the
matching weight (MW), the overlap weight (OVERLAP), and the trapezoidal
weight (TRAPEZOIDAL). Sandwich variance estimation is provided to
adjust for the sampling variability of the estimated propensity score.
These methods are discussed by Hirano et al (2003)
< DOI:10.1111/1468-0262.00442>, Lunceford and Davidian (2004)
< DOI:10.1002/sim.1903>, Li and Greene (2013)
< DOI:10.1515/ijb-2012-0030>, and Li et al (2016)
< DOI:10.1080/01621459.2016.1260466>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
