* Fit Sparse Linear Regression Models via Nonconvex Optimization* (

**sparsenet**)

Efficient procedure for fitting regularization paths between L1 and L0, using the MC+ penalty of Zhang, C.H. (2010)<doi:10.1214/09-AOS729>. Imple …

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**Spatio-Temporal Estimation and Prediction for Censored/Missing Responses****StempCens**)

It estimates the parameters of a censored or missing data in spatio-temporal models using the SAEM algorithm (Delyon et al., 1999 <doi:10.1214/aos/1 …

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**Parallel Use of Statistical Packages in Teaching****rosetta**)

When teaching statistics, it can often be desirable to uncouple the content from specific software packages. To easy such efforts, the Rosetta Stats we …