Packages by Frederic Bertrand

Cascade — 2.2

Selection, Reverse-Engineering and Prediction in Cascade Networks

CascadeData — 1.5

Experimental Data of Cascade Experiments in Genomics

c060 — 0.3-1

Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models

mi4p — 1.2

Multiple Imputation for Proteomics

networkABC — 0.9-0

Network Reverse Engineering with Approximate Bayesian Computation

plsRbeta — 0.3.1

Partial Least Squares Regression for Beta Regression Models

plsdepot — 0.2.0

Partial Least Squares (PLS) Data Analysis Methods

plspm — 0.5.2

Partial Least Squares Path Modeling (PLS-PM)

sageR — 0.6.1

Applied Statistics for Economics and Management with R

survAUC — 1.3-0

Estimators of Prediction Accuracy for Time-to-Event Data

tester — 0.2.0

Tests and Checks Characteristics of R Objects

turner — 0.1.9

Turn Vectors and Lists of Vectors into Indexed Structures