Here are R code/packages we have developed:
Sample R code for competing risks quantile regression [JASA 2009]:
[RCODE]
R package for competing risks quantile regression [JASA 2009]:
[.zip file]
Sample R code for quantile regression for randomly censored data [JASA 2008]
[RCODE]
Sample R code and a data example for quantile regression for doubly censored data [Biometrics 2011]
[RCODE]
[A DATA EXAMPLE]
R package for uniformly adaptive LASSO for quantile regression [Statistics and Computing 2014]
[R PACKAGE in .zip FILE]
[DESCRIPTION]
R package for globally concerned quantile regression for ultra-high dimensional data [The Annals of Statistics 2015]
[R PACKAGE in .tar.gz FILE]
[DESCRIPTION]
R package for Generalized Accelerated Recurrence Time Model [JASA 2016]
Sample R code and a test dataset for a new flexible dependence measure for semi-competing risks data [Biometrics 2016]
[RCODE]
[A TEST DATASET]
Sample R code and a test dataset for generalized accelerated recurrence time model for multivariate recurrent event data with
missing event type [Biometrics 2018]
Sample R code and a test dataset for Quantile regression modeling of latent trajectory features with longitudinal data [Journal of Applied Statistics
2019]
R package for broad sense agreement method [JASA 2011; Stat & Prob Letters 2020]
[R PACKAGE in .tar.gz FILE]
[DESCRIPTION]
R package for Generalized Accelerated Recurrence Time Model in the Presence of A Dependent Terminal Event [The Annals of Applied Statistics 2020]
R code for "Heterogeneous Individual Risk Modeling of Recurrent Events" [Accepted by Biometika 2020]
R package for "A Time-Dependent Structural Model Between Latent Classes and Competing Risks Outcomes" [Under Review by Annals of Applied Statistics 2020]
R package for "Assessing the Reproducibility of Microbiome Measurements Based on Concordance Correlation Coefficients" [Under Review]
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