| Name : R-dipw
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.4.7
| Date : 2024-06-14 11:43:05
|
| Group : Development/Libraries/Other
| Source RPM : R-dipw-0.1.0-lp153.4.7.src.rpm
|
| Size : 0.04 MB
| |
| Packager : (none)
| |
| Summary : Debiased Inverse Propensity Score Weighting
|
Description :
Estimation of the average treatment effect when controlling for
high-dimensional confounders using debiased inverse propensity score
weighting (DIPW). DIPW relies on the propensity score following a
sparse logistic regression model, but the regression curves are not
required to be estimable. Despite this, our package also allows the
users to estimate the regression curves and take the estimated curves
as input to our methods. Details of the methodology can be found in
Yuhao Wang and Rajen D. Shah (2020) \"Debiased Inverse Propensity Score
Weighting for Estimation of Average Treatment Effects with
High-Dimensional Confounders\" < arXiv:2011.08661>. The package relies on
the optimisation software \'MOSEK\' < https://www.mosek.com/> which must
be installed separately; see the documentation for \'Rmosek\'.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
