software
casebase
A method for fitting fully parametric hazard models and covariate-conditional survival curves using the familiar interface of the glm function. Our implementation includes extensions to other models such as penalized regression for variable selection and competing risk analysis. In addition, we provide functions for exploratory data analysis and visualizing the estimated quantities such as the hazard function, survival curve, and their standard errors. The ultimate goal of our package is to make fitting flexible hazards accessible to end users who favor reporting absolute risks and survival curves over hazard ratios.
ggmix
A General Framework for Variable Selection in Linear Mixed Models with Applications to Genetic Studies with Structured Populations. This is a penalized regression method that selects and estimates predictors in a single random effects model.
sail
Journal Article: A sparse additive model for high-dimensional interactions with an exposure variable
Sparse additive interaction learning. This software package implements the sail
method described in the accompanying paper. This is a penalized regression method that selects and estimates both linear and non-linear interactions with a single exposure variable.
eclust
A Statistical Software Tool for the Analysis of High-Dimensional Interactions. This software is written in the open source software environment R. Its main functionality is to cluster a high-dimensional dataset (e.g., genomics, brain imaging) by leveraging the environmental exposures.
manhattanly
Watch the Plotcon talk in New York City about manhattanly
Create interactive Q-Q, manhattan, and volcano plots that are usable from the R console, in the 'RStudio' viewer pane, in 'R Markdown' documents, and in 'Shiny' apps. Hover the mouse pointer over a point to show details or drag a rectangle to zoom.
gglasso
A unified algorithm, blockwise-majorization-descent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM, and squared SVM.