
hyperdirichlet
 Referenced in 6 articles
[sw25404]
 Generalization of the Dirichlet Distribution. This paper discusses a generalization of the Dirichlet distribution...

bsa
 Referenced in 5 articles
[sw26370]
 consider the problem of estimating an unknown distribution function in the presence of censoring under ... prior on is a mixture of Dirichlet distributions. A hyperparameter of the prior determines...

gtools
 Referenced in 5 articles
[sw30324]
 probabilities and generate random numbers from Dirichlet distributions (’rdirichlet’, ’ddirichlet’),  apply a function over adjacent...

MIBPB
 Referenced in 58 articles
[sw08106]
 MIBPB method is also equipped with a DirichlettoNeumann mapping technique that builds ... approach to analytically resolve the singular charge distribution in biomolecules in order to obtain reliable...

AS 266
 Referenced in 3 articles
[sw34902]
 Estimation of the Parameters of the Dirichlet Distribution...

rBeta2009
 Referenced in 2 articles
[sw26560]
 package rBeta2009: The Beta Random Number and Dirichlet Random Vector Generating Functions. The package contains ... distribution and random vectors from the Dirichlet distribution...

polyapost
 Referenced in 2 articles
[sw31735]
 Carlo (hitandrun algorithm) a Dirichlet distribution conditioned to satisfy a finite...

SGB
 Referenced in 1 article
[sw36860]
 procedures using a generalization of the Dirichlet distribution called Simplicial Generalized Beta distribution ... distribution on the simplex (i.e. on the space of compositions or positive vectors with ... components equal to 1). The Dirichlet distribution can be constructed from a random vector ... generalized Gamma instead of Gamma variables. The Dirichlet exponents are supplemented by an overall shape...

dirmult
 Referenced in 2 articles
[sw32729]
 package dirmult: Estimation in DirichletMultinomial distribution. Estimate parameters in DirichletMultinomial and compute profile...

DPpackage
 Referenced in 72 articles
[sw10495]
 space of all regression functions. Unfortunately, posterior distributions ranging over function spaces are highly complex ... eliciting the precision parameter of the Dirichlet process prior, and a general purpose Metropolis sampling...

bivariate
 Referenced in 1 article
[sw36728]
 bimodal) distributions, trivariate (normal and Dirichlet) distributions, bivariate kernel density estimates and bivariate empirical cumulative...

TTLocVis
 Referenced in 3 articles
[sw40767]
 data and to generate topic distributions from Latent Dirichlet Allocation (LDA) Topic Models...

PyMix
 Referenced in 3 articles
[sw07781]
 features; Wide range of available distributions (Normal, Exponential, Discrete, Dirichlet, NormalGamma, Uniform, HMM); Bayesian...

DPWeibull
 Referenced in 2 articles
[sw20438]
 dimensional data with Dirichlet mixture of Gaussian distributions...

xtnbreg
 Referenced in 1 article
[sw37522]
 distribution and its multivariate generalization, the Dirichletmultinomial distribution. This approach involves no additional programming...

lda
 Referenced in 15 articles
[sw07319]
 topic models. This package implements latent Dirichlet allocation (LDA) and related models. This includes ... well as tools for examining posterior distributions are also included...

DRIMSeq
 Referenced in 1 article
[sw25781]
 statistical framework based on the Dirichletmultinomial distribution that can discover changes in isoform usage ... expression of transcripts using these quantifications. The Dirichletmultinomial model naturally accounts for the differential...

HMP
 Referenced in 1 article
[sw26778]
 Comparing Metagenomic Samples from HMP. Using DirichletMultinomial distribution to provide several functions for formal...

VCFEMHOMO
 Referenced in 30 articles
[sw35054]
 VCFEM). VCFEM for microstructural modeling originates from Dirichlet tessellation of representative material elements at sampling ... effect of size, shape and distribution of heterogeneities on local and global response is examined...

Fastfit
 Referenced in 0 articles
[sw05245]
 implements efficient maximumlikelihood estimation of various distributions. It utilizes the technique of generalized Newton ... Beyond Newton’s method, Estimating a Dirichlet distribution, Estimating a Gamma distribution. This toolbox...