Projects

R packages

Package	CRAN Version	Code Coverage	Downloads 1	Development	Role
splines2					aut, cre
reda					aut, cre
dynsurv					aut, cre
touch					aut, cre
rrpack					ctb

splines2: Regression Spline Functions and Classes

splines2 is a complementary package on splines providing functions constructing Constructs B-splines and its integral, monotone splines (M-splines) and its integral (I-splines), convex splines (C-splines), and their derivatives of given order. Piecewise constant basis is allowed for B-splines and M-splines.

reda: Recurrent Event Data Analysis

reda provides functions for

1. simulating survival, recurrent event, and multiple event data from stochastic process point of view
2. exploring and modeling recurrent event data through the mean cumulative function (MCF) or also called the Nelson-Aalen estimator of the cumulative hazard rate function, and gamma frailty model with spline rate function
3. comparing two-sample recurrent event responses with the pseudo-score tests

dynsurv: Dynamic Models for Survival Data

dynsurv provides functions to fit time-varying coefficient models for interval censored and right censored survival data. Three major approaches are implemented:

1. Bayesian Cox model with time-independent, time-varying or dynamic coefficients for right censored and interval censored data;
2. Spline based time-varying coefficient Cox model for right censored data;
3. Transformation model with time-varying coefficients for right censored data using estimating equations.

touch: Tools of Utilization and Cost in Healthcare

touch provides R implementation of the software tools developed in the H-CUP (Healthcare Cost and Utilization Project) and AHRQ (Agency for Healthcare Research and Quality). It currently contains functions for

1. mapping ICD-9 codes to the AHRQ comorbidity measures
2. translating ICD-9 (resp. ICD-10) codes to ICD-10 (resp. ICD-9) codes based on GEM (General Equivalence Mappings) from CMS (Centers for Medicare and Medicaid Services)

rrpack: Reduced-Rank Regression

rrpack provides implementations for multivariate regression methodologies including reduced-rank regression (RRR), reduced-rank ridge regression (RRS), robust reduced-rank regression (R4), generalized/mixed-response reduced-rank regression (mRRR), row-sparse reduced-rank regression (SRRR), reduced-rank regression with a sparse singular value decomposition (RSSVD), and sparse and orthogonal factor regression (SOFAR).

Python Tools

• touchpy: Tools of Utilization and Cost in Healthcare implemented in Python