| 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 |
| 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 |
| 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 |