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BNPdensity (version 0.7.9)
Ferguson-Klass type algorithm for posterior normalized random measures
Description
Ferguson-Klass type algorithm for posterior 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
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2017.03
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0.7.9
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0.7.7
Install
install.packages('BNPdensity')
Monthly Downloads
432
Version
0.7.9
License
GPL (>= 2)
Maintainer
Ernesto Zamudio
Last Published
August 3rd, 2012
Functions in BNPdensity (0.7.9)
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BNPdensity-package
Bayesian nonparametric density estimation
Enzyme2.out
Fit of MixNRMI2 function to the enzyme dataset
Galaxy2.out
Fit of MixNRMI2 function to the galaxy dataset
Enzyme1.out
Fit of MixNRMI1 function to the enzyme dataset
Galaxy1.out
Fit of MixNRMI1 function to the galaxy dataset
MixNRMI1
Normalized Random Measures Mixture of Type I
gs4
Resampling Ystar function
MvInv
Inversed jump heights function
comp2
Ties function: bivariate
MixNRMI2
Normalized Random Measures Mixture of Type II
gs3
Conditional posterior distribution of latent U
gs5
Conditional posterior distribution of sigma
rk
Kernel density sampling function
fcondYXA
Conditional posterior distribution of the latents Y
comp1
Ties function: univariate
galaxy
Galaxy Data Set
fystar
Conditional posterior distribution of the distict Ystar
gsYZstar
Resampling Ystar and Zstar function
fcondXA
Conditional density evaluation in the semiparametric model
acidity
Acidity Index Dataset
fcondYZXA
Conditional posterior distribution of the bivariate latents (Y,Z)
Mv
Continuous Jump heights function
rfzstar
Conditional posterior distribution of the distict Zstar
p0
Centering function
cpo
Conditional predictive ordinate function
fcondXA2
Conditional density evaluation in the fully nonparametric model
enzyme
Enzyme Dataset
dk
Kernel density function