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Nicolai Meinshausen
https://www.github.com/null
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 shrinkage
technique for linear regression. Bot...
Impact Percentile
96
Number of Packages
9
Package Downloads
81,034
Citations
11
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christinaheinze
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