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Dipankar Bandyopadhyay's Projects

ah-bcs icon ah-bcs

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

augbr icon 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 icon bareb

Bayesian Repulsive Bi-clustering, with applications to Periodontal Data

bayesspmsm icon bayesspmsm

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

bridged_survival icon bridged_survival

Programs for computational enhancements in bridged survival regression.

bstn icon bstn

Bayesian Skewed Tensor Normal Modeling

bstt icon bstt

Bayesian Skewed Tensor-t

btst icon btst

Bayesian Regression for Skew-t distributed tensor outcomes

cenroc icon cenroc

cenROCR Package for the estimation of the time-dependent ROC curve and its AUC for censored survival data.

compshrink icon compshrink

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

coxint icon coxint

Cox model for interval censored data

cr-wls icon cr-wls

Weighted least-squares regression with competing risks data

doct icon doct

Decisions Optimized in Continuous Time

dsfdrc icon dsfdrc

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

gcm icon 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

genescreeninglusc icon genescreeninglusc

R code to conduct gene-screening in ultra high-dimensional survival (right-censored) outcomes

geostatistics_dti icon geostatistics_dti

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

gev-spatial icon gev-spatial

R codes to run the shared spatial model for multivariate extreme-valued binary data with non-random missingness

gevsurv icon gevsurv

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

ipcwqr icon 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.

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