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Unbiased Recursive Partitioning: A Conditional Inference Framework
Recursive binary partitioning is a popular tool for regression analysis. Two fundamental problems of exhaustive search procedures usually applied to fit such models have been known for a long time:Expand
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Regression Models for Count Data in R
TLDR
A new implementation of zero-inflated and hurdle regression models in the functions zeroinfl() and hurdle() from the package pscl is introduced. Expand
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Conditional variable importance for random forests
TLDR
We identify two mechanisms responsible for this finding: (i) a preference for the selection of correlated predictors in the tree building process and (ii) an additional advantage for correlated predictor variables induced by the unconditional permutation scheme. Expand
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Bias in random forest variable importance measures: Illustrations, sources and a solution
TLDR
We show that random forest variable importance measures are a sensible means for variable selection in many applications, but are not reliable in situations where potential predictor variables vary in their scale of measurement or their number of categories. Expand
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Beta Regression in R
The class of beta regression models is commonly used by practitioners to model variables that assume values in the standard unit interval (0, 1). It is based on the assumption that the dependentExpand
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Diagnostic Checking in Regression Relationships
TLDR
We present applications of the tests contained in lmtest to two different data sets: the first is a macroeconomic time series from the U.S. analysed by Stock and Watson (1996) and the second is data from a study on measurments of fetal mandible length. Expand
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kernlab - An S4 Package for Kernel Methods in R
TLDR
kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 ob ject model and provides a framework for creating and using kernel- based algorithms. Expand
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Implementing a Class of Permutation Tests: The coin Package
TLDR
The R package coin implements a unified approach to permutation tests providing a huge class of independence tests for nominal, ordered, numeric and censored data as well as multivariate data at mixed scales. Expand
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zoo: S3 Infrastructure for Regular and Irregular Time Series
TLDR
Zoo is an R package providing an S3 class with methods for indexed totally ordered observations, such as discrete irregular time series. Expand
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Applied Econometrics with R
TLDR
This is the first book on applied econometrics using the R system for statistical computing and graphics. Expand
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