| Name : R-bootComb
| |
| Version : 1.1.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.11
| Date : 2024-06-14 11:05:01
|
| Group : Development/Libraries/Other
| Source RPM : R-bootComb-1.1.2-lp153.1.11.src.rpm
|
| Size : 0.11 MB
| |
| Packager : (none)
| |
| Summary : Combine Parameter Estimates via Parametric Bootstrap
|
Description :
Propagate uncertainty from several estimates when combining these
estimates via a function. This is done by using the parametric
bootstrap to simulate values from the distribution of each estimate to
build up an empirical distribution of the combined parameter. Finally
either the percentile method is used or the highest density interval is
chosen to derive a confidence interval for the combined parameter with
the desired coverage. Gaussian copulas are used for when parameters are
assumed to be dependent / correlated. References: Davison and Hinkley
(1997,ISBN:0-521-57471-4) for the parametric bootstrap and percentile
method, Gelman et al. (2014,ISBN:978-1-4398-4095-5) for the highest
density interval, Stockdale et al.
(2020)< doi:10.1016/j.jhep.2020.04.008> for an example of combining
conditional prevalences.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
