| Name : R-geeCRT
| |
| Version : 1.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:19:26
|
| Group : Development/Libraries/Other
| Source RPM : R-geeCRT-1.1.3-lp153.1.4.src.rpm
|
| Size : 0.56 MB
| |
| Packager : (none)
| |
| Summary : Bias-Corrected GEE for Cluster Randomized Trials
|
Description :
Population-averaged models have been increasingly used in the design
and analysis of cluster randomized trials (CRTs). To facilitate the
applications of population-averaged models in CRTs, the package
implements the generalized estimating equations (GEE) and
matrix-adjusted estimating equations (MAEE) approaches to jointly
estimate the marginal mean models correlation models both for general
CRTs and stepped wedge CRTs. Despite the general GEE/MAEE approach, the
package also implements a fast cluster-period GEE method by Li et al.
(2022) < doi:10.1093/biostatistics/kxaa056> specifically for stepped
wedge CRTs with large and variable cluster-period sizes and gives a
simple and efficient estimating equations approach based on the
cluster-period means to estimate the intervention effects as well as
correlation parameters. In addition, the package also provides
functions for generating correlated binary data with specific mean
vector and correlation matrix based on the multivariate probit method
in Emrich and Piedmonte (1991) < doi:10.1080/00031305.1991.10475828> or
the conditional linear family method in Qaqish (2003)
< doi:10.1093/biomet/90.2.455>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
