| Name : R-Rgbp
| |
| Version : 1.1.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.5.9
| Date : 2024-06-14 11:34:29
|
| Group : Development/Libraries/Other
| Source RPM : R-Rgbp-1.1.4-lp153.5.9.src.rpm
|
| Size : 0.19 MB
| |
| Packager : (none)
| |
| Summary : Hierarchical Modeling and Frequency Method Checking on Overdispersed Gaussian, Poisson, and Binomial Data
|
Description :
We utilize approximate Bayesian machinery to fit two-level conjugate
hierarchical models on overdispersed Gaussian, Poisson, and Binomial
data and evaluates whether the resulting approximate Bayesian interval
estimates for random effects meet the nominal confidence levels via
frequency coverage evaluation. The data that Rgbp assumes comprise
observed sufficient statistic for each random effect, such as an
average or a proportion of each group, without population-level data.
The approximate Bayesian tool equipped with the adjustment for density
maximization produces approximate point and interval estimates for
model parameters including second-level variance component, regression
coefficients, and random effect. For the Binomial data, the package
provides an option to produce posterior samples of all the model
parameters via the acceptance-rejection method. The package provides a
quick way to evaluate coverage rates of the resultant Bayesian interval
estimates for random effects via a parametric bootstrapping, which we
call frequency method checking.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
