Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
Add x and y
Convert the output of multMixNRMI into a coda mcmc object
If the function Rmpfr::asNumeric returns a warning about inefficiency,...
Bayesian nonparametric density estimation
Censoring data check
Censor code right-left
Comment on the NRMI process depending on the value of the parameters
Ties function: univariate
Ties function: bivariate
Compute the optimal clustering from an MCMC sample
Compute the grid for thinning the MCMC chain
Convert the output of multMixNRMI into a coda mcmc object
Extract the Conditional Predictive Ordinates (CPOs) from a list of fit...
Extract the Conditional Predictive Ordinates (CPOs) from a fitted obje...
Extract the Conditional Predictive Ordinates (CPOs) from a fitted obje...
Conditional predictive ordinate function
Density half Cauchy
Density half normal
Density half Student-t
Convert distribution names to indices
Kernel density function
Density of the chosen kernel
Density evaluation once
Non-standard student-t density
Density truncated normal
Fit of MixNRMI1 function to the enzyme dataset
Computes the expected number of components for a Dirichlet process.
Computes the expected number of components for a stable process.
Conditional density evaluation in the semiparametric model
Conditional density evaluation in the fully nonparametric model
Conditional density evaluation in the fully nonparametric model for ce...
Conditional posterior distribution of the latents Y
Conditional posterior distribution of the latents Y in the censoring c...
Conditional posterior distribution of the bivariate latents (Y,Z)
Conditional posterior distribution of the bivariate latents (Y,Z) in t...
Repeat the common scale parameter of a semiparametric model to match t...
Gives the kernel name from the integer code
Plot Goodness of fits graphical checks for censored data
Plot Goodness of fits graphical checks for censored data
Plot Goodness of fits graphical checks for non censored data
Create a plotting grid from censored or non-censored data.
Create a plotting grid from censored data.
Create a plotting grid from non-censored data.
Conditional posterior distribution of latent U
Conditional posterior distribution of latent U
Conditional posterior distribution of latent logU
Resampling Ystar function
Resampling Ystar function in the case of censoring
Conditional posterior distribution of sigma
Conditional posterior distribution of sigma in the case of censoring
Updates the hyper-parameters of py0
Jointly resampling Ystar and Zstar function
Jointly resampling Ystar and Zstar function in the case of censoring
Test if the data is censored
Tests if a fit is a semi parametric or nonparametric model.
Metropolis-Hastings ratio for the conditional of logU
Contribution of the proposal kernel logdensity to the Metropolis-Hasti...
Contribution of the target logdensity of logU to the Metropolis-Hastin...
Target logdensity of U given the data
Normalized Random Measures Mixture of Type I
Normalized Random Measures Mixture of Type I for censored data
Normalized Random Measures Mixture of Type II
Normalized Random Measures Mixture of Type II for censored data
Pitman-Yor process mixture of Type I
Pitman-Yor process mixture of Type II
Multiple chains of MixNRMI1
Multiple chains of MixNRMI1cens
Multiple chains of MixNRMI2
Multiple chains of MixNRMI2cens
Continuous Jump heights function
Invert jump heights function
Centering function
Distribution function half Cauchy
Distribution function half Normal
Distribution function half Student-t
Kernel distribution function
Plot the density estimate and the 95% credible interval
Plot the density estimate and the 95% credible interval
Plot the density estimate and the 95% credible interval
Plot the density estimate and the 95% credible interval
Plot the density estimate and the 95% credible interval
Plot the clustering and the Cumulative Distribution Function
This plots the prior distribution on the number of components for the ...
Plot the Turnbull CDF and fitted CDF for censored data.
Plot the empirical and fitted CDF for non censored data.
Plot the density estimate and the 95% credible interval for censored d...
Plot the density estimate and the 95% credible interval for noncensore...
Plot the density for censored data.
Plot the density and a histogram for non censored data.
Plot the percentile-percentile graph for non censored data, using the ...
Plot the percentile-percentile graph for non censored data.
S3 method for class 'multNRMI'
S3 method for class 'MixNRMI1'
S3 method for class 'MixNRMI2'
S3 method for class 'PY1'
S3 method for class 'PY2'
Process the distribution name argument into a distribution index
Distribution function non-standard student-t
Distribution function truncated normal
Generic function to find quantiles of a distribution
Quantile function half Cauchy
Quantile function half Normal
Quantile function half Student-t
Plot the quantile-quantile graph for censored data.
Plot the quantile-quantile graph for non censored data.
Quantile function non-standard Student-t
Quantile function truncated normal
Conditional posterior distribution of the distinct Ystar
Conditional posterior distribution of the distinct Ystar in the case o...
Conditional posterior distribution of the distinct vectors (Ystar,Zsta...
Conditional posterior distribution of the distinct vectors (Ystar,Zsta...
Random number generator half Cauchy
Random number generator half Normal
Random number generator half Student-t
Kernel density sampling function
Proposal distribution for logU
Random number generator non-standard Student-t
Random number generator for a truncated normal distribution
S3 method for class 'multNRMI'
S3 method for class 'MixNRMI1'
S3 method for class 'MixNRMI2'
S3 method for class 'PY1'
S3 method for class 'PY2'
Common text for the summary S3 methods
Choosing the truncation level for the NGG process
Draw a traceplot for multiple chains
Bayesian nonparametric density estimation modeling mixtures by a Ferguson-Klass type algorithm for posterior normalized random measures.