frederic.bertrand@lecnam.net


@fbertran at GitHub


CNAM

Paris, France


https://fbertran.github.io/homepage/


Packages by Frederic Bertrand

BioStatR — 4.1.1

Initiation à La Statistique Avec R

Cascade — 2.3

Selection, Reverse-Engineering and Prediction in Cascade Networks

CascadeData — 1.6

Experimental Data of Cascade Experiments in Genomics

ModStatR — 1.4.1

Statistical Modelling in Action with R

OneTwoSamples — 1.2-0

Deal with One and Two (Normal) Samples

Patterns — 1.7

Deciphering Biological Networks with Patterned Heterogeneous Measurements

Rttf2pt1 — 1.3.14

'ttf2pt1' Program

SelectBoost — 2.3.0

A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets

SelectBoost.beta — 0.4.5

Stability-Selection via Correlated Resampling for Beta-Regression Models

SelectBoost.gamlss — 0.2.2

Stability-Selection via Correlated Resampling for 'GAMLSS' Models

Sobol4R — 0.4.0

Sobol Indices for Models with Fixed and Stochastic Parameters

bigPCAcpp — 0.9.0

Principal Component Analysis for 'bigmemory' Matrices

bigPLSR — 0.7.2

Partial Least Squares Regression Models with Big Matrices

bigPLScox — 0.8.1

Partial Least Squares for Cox Models with Big Matrices

bigalgebra — 3.0.0

'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects

bootPLS — 1.1.0

Bootstrap Hyperparameter Selection for PLS Models and Extensions

c060 — 0.4-0

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

extrafont — 0.20

Tools for Using Fonts

extrafontdb — 1.1

Holding the Database for the 'extrafont' Package

fontcm — 1.2

Computer Modern Font for Use with Extrafont Package

granova — 2.3

Graphical Analysis of Variance

mi4p — 1.3

Multiple Imputation for Proteomics

networkABC — 0.9-1

Network Reverse Engineering with Approximate Bayesian Computation

penalizedSVM — 1.2.0

Feature Selection SVM using Penalty Functions

peperr — 1.6

Parallelised Estimation of Prediction Error

plsRbeta — 0.3.2

Partial Least Squares Regression for Beta Regression Models

plsRcox — 1.8.0

Partial Least Squares Regression for Cox Models and Related Techniques

plsRglm — 1.6.0

Partial Least Squares Regression for Generalized Linear Models

plsdepot — 0.3.0

Partial Least Squares (PLS) Data Analysis Methods

plsdof — 0.4-0

Degrees of Freedom and Statistical Inference for Partial Least Squares Regression

plspm — 0.6.0

Partial Least Squares Path Modeling (PLS-PM)

robustfa — 1.2-0

Object Oriented Solution for Robust Factor Analysis

sageR — 0.7.0

Applied Statistics for Economics and Management with R

survAUC — 1.4-0

Estimators of Prediction Accuracy for Time-to-Event Data

tester — 0.3.0

Tests and Checks Characteristics of R Objects

turner — 0.2.0

Turn Vectors and Lists of Vectors into Indexed Structures