Learn R Programming

Nicolai Meinshausen

Author or maintainer of the following packages:

bastah

Big data statistical analysis for high-dimensional models is made possible by modifying lasso.proj()...
CompareCausalNetworks

Unified interface for the estimation of causal networks, including the methods 'backShift' (from pac...
hdi

Implementation of multiple approaches to perform inference in high-dimensional models.
howmany

When testing multiple hypotheses simultaneously, this package provides functionality to calculate a ...
InvariantCausalPrediction

Confidence intervals for causal effects, using data collected in different experimental or environme...
nodeHarvest

Node harvest is a simple interpretable tree-like estimator for high-dimensional regression and class...
partitionMap

Low-dimensional embedding, using Random Forests for multiclass classification
quantregForest

Quantile Regression Forests is a tree-based ensemble method for estimation of conditional quantiles....
relaxo

Relaxed Lasso is a generalisation of the Lasso shrinkagetechnique for linear regression. Bot...

Impact Percentile

96

Number of Packages

9

Package Downloads

81,034

Citations

11