FVDDPpkg: Implement Fleming-Viot-Dependent Dirichlet Processes

A Bayesian Nonparametric model for the study of time-evolving frequencies, which has become renowned in the study of population genetics. The model consists of a Hidden Markov Model (HMM) in which the latent signal is a distribution-valued stochastic process that takes the form of a finite mixture of Dirichlet Processes, indexed by vectors that count how many times each value is observed in the population. The package implements methodologies presented in Ascolani, Lijoi and Ruggiero (2021) <doi:10.1214/20-BA1206> and Ascolani, Lijoi and Ruggiero (2023) <doi:10.3150/22-BEJ1504> that make it possible to study the process at the time of data collection or to predict its evolution in future or in the past.

Version:	0.1.2
Imports:	Rcpp, Rdpack
LinkingTo:	Rcpp
Suggests:	rmarkdown, knitr
Published:	2024-07-09
DOI:	10.32614/CRAN.package.FVDDPpkg
Author:	Stefano Damato [aut, cre]
Maintainer:	Stefano Damato <stefano.damato at idsia.ch>
License:	LGPL (≥ 3)
NeedsCompilation:	yes
Materials:	README
CRAN checks:	FVDDPpkg results

Documentation:

Reference manual:	FVDDPpkg.pdf
Vignettes:	FVDDPpkg

Downloads:

Package source:	FVDDPpkg_0.1.2.tar.gz
Windows binaries:	r-devel: FVDDPpkg_0.1.2.zip, r-release: not available, r-oldrel: FVDDPpkg_0.1.2.zip
macOS binaries:	r-release (arm64): FVDDPpkg_0.1.2.tgz, r-oldrel (arm64): FVDDPpkg_0.1.2.tgz, r-release (x86_64): FVDDPpkg_0.1.2.tgz, r-oldrel (x86_64): FVDDPpkg_0.1.2.tgz

Linking:

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