| Name : R-dupiR
| |
| Version : 1.2.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:19:08
|
| Group : Development/Libraries/Other
| Source RPM : R-dupiR-1.2.1-lp153.2.2.src.rpm
|
| Size : 0.22 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Inference from Count Data using Discrete Uniform Priors
|
Description :
We consider a set of sample counts obtained by sampling arbitrary
fractions of a finite volume containing an homogeneously dispersed
population of identical objects. This package implements a Bayesian
derivation of the posterior probability distribution of the population
size using a binomial likelihood and non-conjugate, discrete uniform
priors under sampling with or without replacement. This can be used for
a variety of statistical problems involving absolute quantification
under uncertainty. See Comoglio et al. (2013)
< doi:10.1371/journal.pone.0074388>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
