| Name : R-deconvolveR
| |
| Version : 1.2.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 10:59:41
|
| Group : Development/Libraries/Other
| Source RPM : R-deconvolveR-1.2.1-lp153.2.13.src.rpm
|
| Size : 2.78 MB
| |
| Packager : (none)
| |
| Summary : Empirical Bayes Estimation Strategies
|
Description :
Empirical Bayes methods for learning prior distributions from data. An
unknown prior distribution (g) has yielded (unobservable) parameters,
each of which produces a data point from a parametric exponential
family (f). The goal is to estimate the unknown prior (\"g-modeling\") by
deconvolution and Empirical Bayes methods. Details and examples are in
the paper by Narasimhan and Efron (2020, < doi:10.18637/jss.v094.i11>).
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
