| Name : R-RISCA
| |
| Version : 1.0.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.3
| Date : 2024-06-14 12:15:44
|
| Group : Development/Libraries/Other
| Source RPM : R-RISCA-1.0.5-lp153.1.3.src.rpm
|
| Size : 1.41 MB
| |
| Packager : (none)
| |
| Summary : Causal Inference and Prediction in Cohort-Based Analyses
|
Description :
Numerous functions for cohort-based analyses, either for prediction or
causal inference. For causal inference, it includes Inverse Probability
Weighting and G-computation for marginal estimation of an exposure
effect when confounders are expected. We deal with binary outcomes,
times-to-events, competing events, and multi-state data. For multistate
data, semi-Markov model with interval censoring may be considered, and
we propose the possibility to consider the excess of mortality related
to the disease compared to reference lifetime tables. For predictive
studies, we propose a set of functions to estimate time-dependent
receiver operating characteristic (ROC) curves with the possible
consideration of right-censoring times-to-events or the presence of
confounders. Finally, several functions are available to assess
time-dependent ROC curves or survival curves from aggregated data.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
