| Name : R-AteMeVs
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:13:44
|
| Group : Development/Libraries/Other
| Source RPM : R-AteMeVs-0.1.0-lp153.1.5.src.rpm
|
| Size : 0.05 MB
| |
| Packager : (none)
| |
| Summary : Average Treatment Effects with Measurement Error and Variable Selection for Confounders
|
Description :
A recent method proposed by Yi and Chen (2023)
< doi:10.1177/09622802221146308> is used to estimate the average
treatment effects using noisy data containing both measurement error
and spurious variables. The package \'AteMeVs\' contains a set of
functions that provide a step-by-step estimation procedure, including
the correction of the measurement error effects, variable selection for
building the model used to estimate the propensity scores, and
estimation of the average treatment effects. The functions contain
multiple options for users to implement, including different ways to
correct for the measurement error effects, distinct choices of penalty
functions to do variable selection, and various regression models to
characterize propensity scores.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
