Tuo Zhao

bigdata

The big data package is a collection of scalable methods<U+000a>for large-scale data analysis.

Use Newton's method, coordinate descent, and METIS clustering
to solve the L1 regularized Gaussian M...

The package "camel" provides the implementation of a family of high-dimensional calibrated machine l...

The package "flare" provides the implementation of a family of Lasso variants including Dantzig Sele...

Provides a general framework for
high-dimensional undirected graph estimation. It integrates
data pr...

Computationally efficient tools for fitting generalized linear model with convex or non-convex penal...

The package SAM targets at high dimensional predictive
modeling (regression and classification) for ...

The SML package is a collection of statistical machine learning methods.

We provide an efficient solver for estimating semiparametric generalized linear models.