bandyopd

AH-BCS

R code for simulation experiments in the additive hazards model for bivariate current status data

AugBR

SAS macro Beta_Regression implements 0-1 augmented, 0-augmented, 1-augmented, and non-augmented lemon-squeezer beta regression models, as described in the paper: Lewis B, Bandyopadhyay D, DeSantis SM and John MT. (2017). Augmented beta regression for periodontal proportion data via the SAS NLMIXED procedure, Journal of Applied Probability and Statistics, 12(1), 49-66

BAREB

Bayesian Repulsive Bi-clustering, with applications to Periodontal Data

BayesianGymnasium2017

Repository for class materials for EEB 610: Intro to Bayesian Modeling with Stan

BayesianPolicySearch

Bayesian Nonparametric Policy Search with Application to Periodontal Recall Intervals

BayesianPolicySearch-1

Code for "Bayesian Policy Search for Periodontal Recall Intervals" by Guan et al

BayesSPMSM

Code to implement a Bayesian monotone single-index modeling of spatially-referenced multistate current status data

CR-WLS

Weighted least-squares regression with competing risks data

ipcwQR

R package ipcwQR to implement an inverse-probability censoring weighted (IPCW) procedure for censored quantile regression, for (cluster-correlated) partially interval-censored data. Includes both double-censoring, and partially interval-censoring.

PLTM-ICCR

R programs to conduct sieve MLE estimation under the partially linear transformation generalized odds rate model for interval-censored competing risks data

bandyopd/AH-BCS

R code for simulation experiments in the additive hazards model for bivariate current status data

bandyopd/CR-WLS

Weighted least-squares regression with competing risks data

bandyopd/BAREB

Bayesian Repulsive Bi-clustering, with applications to Periodontal Data

bandyopd/BayesianPolicySearch

Bayesian Nonparametric Policy Search with Application to Periodontal Recall Intervals

bandyopd/BayesSPMSM

Code to implement a Bayesian monotone single-index modeling of spatially-referenced multistate current status data

bandyopd/BIOS549

bandyopd/BSTT

Bayesian Skewed Tensor-t

bandyopd/BTST

Bayesian Regression for Skew-t distributed tensor outcomes

bandyopd/CensSpBayes

What the Package Does (One Line, Title Case)

bandyopd/compshrink

Shrinkage priors for variable selection for Bayesian Dirichlet-Multinomial regression model

bandyopd/CureAFT-GEE-ICS

bandyopd/drRML

bandyopd/DSFDRC

R package for two dimensional marginal screening for ultra-high dimensional right-censored survival data

bandyopd/fastCRRC

bandyopd/Frechet-regression

bandyopd/GCM

R/JAGS implementation of the cross-domain latent growth curve modeling from "Association between body fat and body mass index from incomplete longitudinal proportion data: Findings from the Fels study" by Tong, Kim, Bandyopadhyay and Sun

bandyopd/Geostatistics_DTI

Geostatistical Modeling of Positive Definite Matrices, with Applications to Diffusion Tensor Imaging

bandyopd/GEVSurv

R code to fit a h-likelihood based GEV model to clustered right-censored survival data, under heavy censoring

bandyopd/ipcwqrPIC

bandyopd/logisticGP

An R package for the logistic-Gaussian process model.

bandyopd/MGH-LME

Implementation of the LMM for longitudinal data, using the generalized hyperbolic distribution.

bandyopd/MSIMST

Provides a Bayesian monotonic single-index mixed-effect model with multivariate skew-t likelihood and survey weight adjustments. It includes a simulation program and Gibbs sampler, using a monotonic increasing function with a Gaussian process prior, skew-t random effects, and multivariate Student-t residuals.

bandyopd/mspack2

Nonparametric estimation of state occupation probabilities from multistate models with current-status data

bandyopd/PLScure

bandyopd/Potts_DTI

Code for "A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging"

bandyopd/PVF-Semicompeting

R code for profile likelihood based estimation in semi-competing risks endpoints with PVF frailty

bandyopd/rankIC

bandyopd/RASCO

An R Package to Alleviate Spatial Confounding

bandyopd/skewBART

Software for fitting BART (Bayesian Additive Regression Trees) to multivariate skewed responses

bandyopd/skewtlmm