| Name : R-MapGAM
| |
| Version : 1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.1
| Date : 2024-09-10 04:08:48
|
| Group : Development/Libraries/Other
| Source RPM : R-MapGAM-1.3-lp153.2.1.src.rpm
|
| Size : 1.49 MB
| |
| Packager : (none)
| |
| Summary : Mapping Smoothed Effect Estimates from Individual-Level Data
|
Description :
Contains functions for mapping odds ratios, hazard ratios, or other
effect estimates using individual-level data such as case-control study
data, using generalized additive models (GAMs) or Cox models for
smoothing with a two-dimensional predictor (e.g., geolocation or
exposure to chemical mixtures) while adjusting linearly for confounding
variables, using methods described by Kelsall and Diggle (1998),
Webster at al. (2006), and Bai et al. (2020). Includes convenient
functions for mapping point estimates and confidence intervals,
efficient control sampling, and permutation tests for the null
hypothesis that the two-dimensional predictor is not associated with
the outcome variable (adjusting for confounders).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
