| Name : R-dfmeta
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.20.1
| Date : 2024-06-20 19:19:16
|
| Group : Development/Libraries/Other
| Source RPM : R-dfmeta-1.0.0-lp154.20.1.src.rpm
|
| Size : 0.52 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Meta-Analysis of Phase I Dose-Finding Early Clinical Trials
|
Description :
Meta-analysis approaches for Phase I dose finding early phases clinical
trials in order to better suit requirements in terms of maximum
tolerated dose (MTD) and maximal dose regimen (MDR). This package has
currently three different approaches: (a) an approach proposed by Zohar
et al, 2011, < doi:10.1002/sim.4121> (denoted as ZKO), (b) the Variance
Weighted pooling analysis (called VarWT) and (c) the Random Effects
Model Based (REMB) algorithm, where user can input his/her own model
based approach or use the existing random effect logistic regression
model (named as glimem) through the \'dfmeta\' package.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
