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Han Liu

https://www.github.com/null

Author or maintainer of the following packages:

The big data package is a collection of scalable methodsfor large-scale data analysis.

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

This package is trying to implement Top Scoring Pair basedmethods for classification includi...

This package is an extension to the "ergm" package which implements the block ergms.

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

Provides a method of recovering the precision matrix efficiently and solving for the dantzig selecto...

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 package "smart" provides a general framework for analyzing (including estimation, feature select...

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

Impact Percentile

93

Number of Packages

12

Package Downloads

50,112

Citations

1

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