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BNPdensity (version 0.7.8)
Ferguson-Klass type algorithm for posterior normalized random measures
Description
Ferguson-Klass type algorithm for porterior normalized random measures
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Version
2025.7.29
2023.3.8
2021.5.4
2020.3.4
2019.9.18
2019.9.11
2019.7.9
2017.03
2015.5
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0.7.9
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0.7.7
Install
install.packages('BNPdensity')
Monthly Downloads
432
Version
0.7.8
License
GPL (>= 2)
Maintainer
Ernesto Zamudio
Last Published
October 8th, 2011
Functions in BNPdensity (0.7.8)
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gs4
Resampling Ystar function
rk
Kernel density sampling function
enzyme
Enzyme Dataset
galaxy
Galaxy Data Set
fcondXA2
Conditional density evaluation in the fully nonparametric model
fystar
Conditional posterior distribution of the distict Ystar
Galaxy2.out
Fit of MixNRMI2 function to the galaxy dataset
cpo
Conditional predictive ordinate function
comp1
Ties function: univariate
fcondXA
Conditional density evaluation in the semiparametric model
Galaxy1.out
Fit of MixNRMI1 function to the galaxy dataset
rfzstar
Conditional posterior distribution of the distict Zstar
gs5
Conditional posterior distribution of sigma
gsYZstar
Resampling Ystar and Zstar function
comp2
Ties function: bivariate
Mv
Continuous Jump heights function
BNPdensity-package
Bayesian nonparametric density estimation
MixNRMI1
Normalized Random Measures Mixture of Type I
Enzyme1.out
Fit of MixNRMI1 function to the enzyme dataset
gs3
Conditional posterior distribution of latent U
MixNRMI2
Normalized Random Measures Mixture of Type II
acidity
Acidity Index Dataset
Enzyme2.out
Fit of MixNRMI2 function to the enzyme dataset
MvInv
Inversed jump heights function
p0
Centering function
fcondYXA
Conditional posterior distribution of the latents Y
fcondYZXA
Conditional posterior distribution of the bivariate latents (Y,Z)
dk
Kernel density function