
DPpackage
 Referenced in 68 articles
[sw10495]
 DPpackage: Bayesian Semi and Nonparametric Modeling in R. Data analysis sometimes requires the relaxation ... specification of the probability model. In the Bayesian context, this is accomplished by placing ... programs for the implementation of some Bayesian nonparametric and semiparametric models in R, DPpackage. Currently...

BartPy
 Referenced in 73 articles
[sw40584]
 posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis...

BayesTree
 Referenced in 60 articles
[sw07995]
 posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis...

bnpmr
 Referenced in 20 articles
[sw11018]
 Bayesian monotonic nonparametric regression. Implements the Bayesian nonparametric monotonic regression method described in Bornkamp & Ickstadt...

spBayesSurv
 Referenced in 9 articles
[sw16371]
 models for spatial/nonspatial survival data: marginal Bayesian Nonparametric models, marginal Bayesian proportional hazards models, generalized...

beyondWhittle
 Referenced in 8 articles
[sw31734]
 Stationary Time Series. Implementations of Bayesian parametric, nonparametric and semiparametric procedures for univariate and multivariate...

dirichletprocess
 Referenced in 4 articles
[sw32614]
 Process Objects for Bayesian Modelling. Perform nonparametric Bayesian analysis using Dirichlet processes without the need...

msBP
 Referenced in 4 articles
[sw23268]
 Multiscale Bernstein Polynomials for Densities. Performs Bayesian nonparametric multiscale density estimation and multiscale testing...

BNPMIXcluster
 Referenced in 2 articles
[sw18028]
 package BNPMIXcluster. Bayesian Nonparametric Model for Clustering with Mixed Scale Variables. Bayesian nonparametric approach...

vx_dbel
 Referenced in 3 articles
[sw37455]
 packages do not sufficiently address Ksample nonparametric comparisons of data distributions, we propose ... exacttest pvalue computations. This Bayesiantype method considers tabulated critical values as prior ... likelihood function. In this case, a nonparametric Bayesian method is proposed to compute critical values...

dpmixsim
 Referenced in 3 articles
[sw24713]
 segmentation. The DPM model is a Bayesian nonparametric methodology that relies on MCMC simulations...

BNPmix
 Referenced in 3 articles
[sw28208]
 process mixture models are flexible Bayesian nonparametric models to deal with density estimation. Estimation could...

phylodyn
 Referenced in 3 articles
[sw19813]
 genealogies. The package main functionality is Bayesian nonparametric estimation of effective population size fluctuations over...

ConfBands
 Referenced in 31 articles
[sw12330]
 methods: (a) as a standard (fixed effect) nonparametric model, (b) using the mixedmodel framework ... random effects, and (c) a full Bayesian approach. The volumeoftube formula is applied...

tsBCF
 Referenced in 2 articles
[sw40583]
 Smooth Bayesian Causal Forests (tsBCF), a nonparametric Bayesian approach for estimating heterogeneous treatment effects which...

IMIFA
 Referenced in 2 articles
[sw20290]
 Bayesian estimation of Infinite Mixtures of Infinite Factor Analysers and related models, for nonparametrically clustering ... arxiv.org/abs/1701.07010”>arXiv:1701.07010>. The IMIFA model conducts Bayesian nonparametric modelbased clustering with factor analytic covariance...

Bayesian Regression
 Referenced in 2 articles
[sw19268]
 menudriven software package of Bayesian nonparametric (and parametric) mixed models for regression analysis...

bsplinePsd
 Referenced in 2 articles
[sw31798]
 package bsplinePsd: Bayesian Nonparametric Spectral Density Estimation Using BSpline Priors. Implementation of a Metropolis...

MixedDataImpute
 Referenced in 1 article
[sw18615]
 Continuous and Categorical Data using Nonparametric Bayesian Joint Models. Missing data imputation for continuous ... categorical data, using nonparametric Bayesian joint models (specifically the hierarchically coupled mixture model with local...

GLFM
 Referenced in 1 article
[sw35679]
 this paper, we introduce a general Bayesian nonparametric latent feature allocation model suitable for heterogeneous ... attributes per MCMC iteration. Second, the Bayesian nonparametric component allows us to place a prior...