| Name : R-MIIPW
| |
| Version : 0.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.8.1
| Date : 2024-09-10 03:37:15
|
| Group : Development/Libraries/Other
| Source RPM : R-MIIPW-0.1.1-lp156.8.1.src.rpm
|
| Size : 0.22 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : IPW and Mean Score Methods for Time-Course Missing Data
|
Description :
Contains functions for data analysis of Repeated measurement using GEE.
Data may contain missing value in response and covariates. For
parameter estimation through Fisher Scoring algorithm, Mean Score and
Inverse Probability Weighted method combining with Multiple Imputation
are used when there is missing value in covariates/response. Reference
for mean score method, inverse probability weighted method is Wang et
al(2007)< doi:10.1093/biostatistics/kxl024>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
