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TH.data

R package TH.data: TH’s Data Archive. Contains data sets used in other packages Torsten Hothorn maintains.

Keywords for this software

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  • gamma regression
  • pretest and shrinkage
  • Monte Carlo
  • R package
  • JSS_publication
  • multi-state models
  • asymptotic properties
  • multicollinearity
  • nearest neighborhood methods
  • classification
  • Monte Carlo simulation
  • almost unbiased Liu type estimator
  • Liu type estimator
  • lasso
  • multistate models
  • recursive partitioning
  • interaction effects
  • survival
  • modified almost unbiased Liu type estimator
  • random forests
  • boosting
  • generalized linear modeling
  • support vector machine
  • Journal of Statistical Software
  • STIMA
  • logistic regression
  • survival data
  • logit model
  • regression trunk

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Torsten Hothorn
  • Dependencies: R

  • Add information on this software.


  • Related software:
  • R
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  • mlbench
  • UCI-ml
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  • mda
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  • survival
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  • Show more...
  • mstate
  • msm
  • ada
  • mboost
  • glmnet
  • ElemStatLearn
  • CRAN
  • e1071
  • penalized
  • BayesTree
  • Show less...

References in zbMATH (referenced in 5 articles )

Showing results 1 to 5 of 5.
y Sorted by year (citations)

  1. Asar, Yasin; Korkmaz, Merve: Almost unbiased Liu-type estimators in gamma regression model (2022)
  2. Reangsephet, O.; Lisawadi, S.; Ahmed, S. E.: Adaptive estimation strategies in gamma regression model (2020)
  3. Conversano, Claudio; Dusseldorp, Elise: Modeling threshold interaction effects through the logistic classification trunk (2017)
  4. Christopher Jackson: flexsurv: A Platform for Parametric Survival Modeling in R (2016) not zbMATH
  5. Tutz, Gerhard; Koch, Dominik: Improved nearest neighbor classifiers by weighting and selection of predictors (2016)

  • Article statistics & filter:

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  • MSC classification / top
    • Top MSC classes
      • 62 Statistics
      • 65 Numerical analysis
      • 68 Computer science

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