Mixed.SVM: A Bayesian Mixed Effects Support Vector Machine
๐ Website
๐ก Software for implementing aโฆ
This page provides links to R
packages I have (co)authored. The most recent versions of most packages are on github. Most R
packages are also available on CRAN.
ICsurv: Semiparametric Regression Analysis of Interval-Censored Data
๐ CRAN Page
๐ An R package for semiparametric regression analysis of interval-censored data, providing robust statistical tools for handling censored data in various applications.
aenetgt: Adaptive Elastic Net for Group Testing
๐ GitHub Repository
๐ Software for implementing adaptive elastic net regression for group testing, optimizing variable selection in pooled testing data analyses.
GAM: Generalized Additive Regression for Group Testing Data
๐ GitHub Repository
๐ Software for applying generalized additive regression to group testing data, providing flexible modeling for pooled testing analyses.
JMTB: Bayesian Regression Model for Group Testing Data
๐ GitHub Repository
๐ Implements a Bayesian regression model with spike and slab variable selection for group testing data.
Seroprevalence-Trends: Regional Trends in Canine Seroprevalence
๐ GitHub Repository
๐ Analyzes regional trends in Borrelia burgdorferi and Anaplasma spp. seroprevalence in domestic dogs (2013-2019).
Group-Testing: Dilution Effect in Group Testing Regression
๐ GitHub Repository
๐ Novel approach for acknowledging the dilution effect in group testing regression.
binGroup2: R Package for Group Testing
๐ CRAN Page
๐ Provides statistical tools for group testing analysis in infectious disease surveillance.
SIGHR: Side Information Guided High-Dimensional Regression
๐ GitHub Repository
๐ Enhances predictive modeling by incorporating auxiliary data in high-dimensional analyses.
semipadd2pop: Semiparametric Additive Modeling
๐ GitHub Repository
๐ Combines multiple datasets for flexible semiparametric additive modeling.
Mixed.SVM: Bayesian Mixed Effects SVM
๐ GitHub Repository
๐ Models daily substance use disorder patterns using Bayesian mixed effects support vector machines. โ