R: Bayesian Nonparametric Modeling in R

# Bayesian Nonparametric Modeling in R

## Documentation for package ‘DPpackage’ version 1.1-7.4

- DESCRIPTION file.

## Help Pages

B C D F G H I L N O P R S T U

## -- B --

BDPdensity | Semiparametric Bayesian density estimation using Bernstein Polynomials
BDPdensity.default | Semiparametric Bayesian density estimation using Bernstein Polynomials
bir | British Institute of Radiology Fractionation Studies

## -- C --

calgb | Cancer and Leukemia Group B (CALGB) Data
calgb.pred | Cancer and Leukemia Group B (CALGB) Data for Prediction
CSDPbinary | Bayesian analysis for a semiparametric logistic regression model
CSDPbinary.default | Bayesian analysis for a semiparametric logistic regression model

## -- D --

deterioration | Time to Cosmetic Deterioration of Breast Cancer Patients
DPbetabinom | Bayesian Semiparametric Beta-Binomial Model using a DP prior
DPbetabinom.default | Bayesian Semiparametric Beta-Binomial Model using a DP prior
DPbinary | Bayesian analysis for a semiparametric Bernoulli regression model
DPbinary.default | Bayesian analysis for a semiparametric Bernoulli regression model
DPcaterpillar | Caterpillar Plots for Random Effects
DPcdensity | Bayesian Semiparametric Conditional Density Estimation using a DPM of normals
DPcdensity.default | Bayesian Semiparametric Conditional Density Estimation using a DPM of normals
DPdensity | Semiparametric Bayesian density estimation using a DPM of normals
DPdensity.default | Semiparametric Bayesian density estimation using a DPM of normals
DPelicit | Performs a prior elicitation for the precision parameter of a DP prior
DPelicit.default | Performs a prior elicitation for the precision parameter of a DP prior
DPglmm | Bayesian analysis for a semiparametric generalized linear mixed model using a MDP
DPglmm.default | Bayesian analysis for a semiparametric generalized linear mixed model using a MDP
DPlmm | Bayesian analysis for a semiparametric linear mixed model using a MDP
DPlmm.default | Bayesian analysis for a semiparametric linear mixed model using a MDP
DPMdencens | Bayesian density estimation for interval-censored data using a DPM of normals
DPMdencens.default | Bayesian density estimation for interval-censored data using a DPM of normals
DPmeta | Bayesian analysis for a semiparametric linear mixed effects meta-analysis model using a MDP
DPmeta.default | Bayesian analysis for a semiparametric linear mixed effects meta-analysis model using a MDP
DPMglmm | Bayesian analysis for a semiparametric generalized linear mixed model using a DPM of normals
DPMglmm.default | Bayesian analysis for a semiparametric generalized linear mixed model using a DPM of normals
DPMlmm | Bayesian analysis for a semiparametric linear mixed model using a DPM of normals
DPMlmm.default | Bayesian analysis for a semiparametric linear mixed model using a DPM of normals
DPMmeta | Bayesian analysis for a semiparametric linear mixed effects meta-analysis model using a DPM of normals
DPMmeta.default | Bayesian analysis for a semiparametric linear mixed effects meta-analysis model using a DPM of normals
DPMolmm | Bayesian analysis for a semiparametric ordinal linear mixed model using a DPM of normals
DPMolmm.default | Bayesian analysis for a semiparametric ordinal linear mixed model using a DPM of normals
DPMrandom | Extracts Random Effects
DPMrandom.default | Extracts Random Effects
DPMrasch | Bayesian analysis for a semiparametric Rasch model
DPMrasch.default | Bayesian analysis for a semiparametric Rasch model
DPMraschpoisson | Bayesian analysis for a semiparametric Rasch Poisson model
DPMraschpoisson.default | Bayesian analysis for a semiparametric Rasch Poisson model
DPmultmeta | Bayesian analysis for a semiparametric random effects multivariate meta-analysis model using a MDP
DPmultmeta.default | Bayesian analysis for a semiparametric random effects multivariate meta-analysis model using a MDP
DPolmm | Bayesian analysis for a semiparametric ordinal linear mixed model using a MDP
DPolmm.default | Bayesian analysis for a semiparametric ordinal linear mixed model using a MDP
DPpsBF | Computes Pseudo Bayes Factors from DPpackage output
DPrandom | Extracts Random Effects
DPrandom.default | Extracts Random Effects
DPrasch | Bayesian analysis for a semiparametric Rasch model
DPrasch.default | Bayesian analysis for a semiparametric Rasch model
DPraschpoisson | Bayesian analysis for a semiparametric Rasch Poisson model
DPraschpoisson.default | Bayesian analysis for a semiparametric Rasch Poisson model
DProc | Semiparametric Bayesian ROC curve analysis using DPM of normals
DProc.default | Semiparametric Bayesian ROC curve analysis using DPM of normals
DPsurvint | Bayesian analysis for a semiparametric AFT regression model
DPsurvint.default | Bayesian analysis for a semiparametric AFT regression model

## -- F --

fleabeetles | Flea-beetles
FPTbinary | Bayesian analysis for a Finite Polya Tree Bernoulli regression model
FPTbinary.default | Bayesian analysis for a Finite Polya Tree Bernoulli regression model
FPTrasch | Bayesian analysis for a Finite Polya Tree Rasch model
FPTrasch.default | Bayesian analysis for a Finite Polya Tree Rasch model
FPTraschpoisson | Bayesian analysis for a Finite Polya Tree Rasch Poisson model
FPTraschpoisson.default | Bayesian analysis for a Finite Polya Tree Rasch Poisson model
fractionation | British Institute of Radiology Fractionation Studies

## -- G --

galaxy | Galaxy velocities

## -- H --

HDPMcdensity | Bayesian analysis for a hierarchical Dirichlet Process mixture of normals model for conditional density estimation
HDPMcdensity.default | Bayesian analysis for a hierarchical Dirichlet Process mixture of normals model for conditional density estimation
HDPMdensity | Bayesian analysis for a hierarchical Dirichlet Process mixture of normals model for marginal density estimation
HDPMdensity.default | Bayesian analysis for a hierarchical Dirichlet Process mixture of normals model for marginal density estimation
hiv | HIV-AIDS data

## -- I --

igg | Immunoglobulin G concentrations
indon | Indonesian Children's Health Study

## -- L --

LDBDPdensity | Bounded Density Regression using Dependent Bernstein Polynomials
LDBDPdensity.default | Bounded Density Regression using Dependent Bernstein Polynomials
LDDPdensity | Bayesian analysis for a Linear Dependent Dirichlet Process Mixture Model
LDDPdensity.default | Bayesian analysis for a Linear Dependent Dirichlet Process Mixture Model
LDDPrasch | Bayesian analysis for a dependent semiparametric Rasch model
LDDPrasch.default | Bayesian analysis for a dependent semiparametric Rasch model
LDDPraschpoisson | Bayesian analysis for a dependent semiparametric Rasch Poisson model
LDDPraschpoisson.default | Bayesian analysis for a dependent semiparametric Rasch Poisson model
LDDProc | Linear dependent DP model for conditional ROC curve estimation.
LDDProc.default | Linear dependent DP model for conditional ROC curve estimation.
LDDPsurvival | Bayesian analysis for a Linear Dependent Dirichlet Process Mixture of Survival Models
LDDPsurvival.default | Bayesian analysis for a Linear Dependent Dirichlet Process Mixture of Survival Models
LDDPtwopl | Bayesian analysis for a dependent semiparametric two parameters logistic model
LDDPtwopl.default | Bayesian analysis for a dependent semiparametric two parameters logistic model
LDPDdoublyint | Bayesian analysis for a Linear Dependent Poisson Dirichlet Process Mixture Models for the Analysis of Doubly-Interval-Censored Data
LDPDdoublyint.default | Bayesian analysis for a Linear Dependent Poisson Dirichlet Process Mixture Models for the Analysis of Doubly-Interval-Censored Data
LDTFPdensity | Density Regression using Linear Dependent Tailfree Processes
LDTFPdensity.default | Density Regression using Linear Dependent Tailfree Processes
LDTFPglmm | Generalized linear mixed model using a linear dependent tailfree prior
LDTFPglmm.default | Generalized linear mixed model using a linear dependent tailfree prior
LDTFPsurvival | Survival Regression using Linear Dependent Tailfree Processes
LDTFPsurvival.default | Survival Regression using Linear Dependent Tailfree Processes

## -- N --

nodal | Nodal Involvement Data

## -- O --

orings | Challenger Space Shuttle O-Ring Data

## -- P --

Pbinary | Bayesian analysis for a parametric Bernoulli regression model
Pbinary.default | Bayesian analysis for a parametric Bernoulli regression model
Plm | Bayesian analysis for a parametric linear regression model
Plm.default | Bayesian analysis for a parametric linear regression model
predict.DPsurvint | Computes the Survival Curve in a Bayesian analysis for a semiparametric AFT regression model
predict.HDPMcdensity | Predictive Information for the Dependent Random Probability Measures.
predict.HDPMdensity | Predictive Information for the Dependent Random Probability Measures.
ps | Specify a smoothing spline fit in a PSgam formula
PSgam | Bayesian analysis for a semiparametric generalized additive model
PSgam.default | Bayesian analysis for a semiparametric generalized additive model
psychiatric | Psychiatric Clinical Trial
PTdensity | Nonparametric Bayesian density estimation using Mixtures of Polya Trees
PTdensity.default | Nonparametric Bayesian density estimation using Mixtures of Polya Trees
PTglmm | Bayesian analysis for a semiparametric generalized linear mixed model using a MMPT
PTglmm.default | Bayesian analysis for a semiparametric generalized linear mixed model using a MMPT
PTlm | Bayesian analysis for a semiparametric linear regression model
PTlm.default | Bayesian analysis for a semiparametric linear regression model
PTlmm | Bayesian analysis for a semiparametric linear mixed model using a MMPT
PTlmm.default | Bayesian analysis for a semiparametric linear mixed model using a MMPT
PTmeta | Bayesian analysis for a semiparametric linear mixed effects meta-analysis model using a MPT
PTmeta.default | Bayesian analysis for a semiparametric linear mixed effects meta-analysis model using a MPT
PTolmm | Bayesian analysis for a semiparametric ordinal linear mixed model using a MMPT
PTolmm.default | Bayesian analysis for a semiparametric ordinal linear mixed model using a MMPT
PTrandom | Extracts Random Effects
PTrandom.default | Extracts Random Effects
PTsampler | Polya Tree sampler function
PTsampler.default | Polya Tree sampler function

## -- R --

rats | Rats
rolling | Rolling Thumbtacks Data

## -- S --

schoolgirls | The Heights of Schoolgirls
seizures | Epileptic seizures
sports | The Australian Athletes Data

## -- T --

TDPdensity | Semiparametric Bayesian density estimation using DP Mixtures of Triangular Distributions
TDPdensity.default | Semiparametric Bayesian density estimation using DP Mixtures of Triangular Distributions
toenail | Toenail data

## -- U --

uniond | Union Membership