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epitools

R package epitools: Epidemiology Tools. Tools for training and practicing epidemiologists including methods for two-way and multi-way contingency tables.

Keywords for this software

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  • R package
  • data science
  • statistical estimation
  • highly adaptive Lasso (HAL)
  • targeted estimation of cumulative effects
  • big data
  • targeted maximum likelihood estimation (TMLE)
  • Bayesian inference
  • data adaptive target parameters
  • longitudinal targeted maximum likelihood estimator (LTMLE)
  • ensemble learning
  • Markov chain Monte Carlo
  • sequential super-learning
  • R
  • C-TMLE (continuous tuning)
  • sample average treatment effect
  • Journal of Statistical Software
  • efficient influence curve
  • targeted learning
  • structural causal model
  • optimal decisions
  • HAL-TMLE
  • canonical one-dimensional submodel for a multidimensional target parameter
  • SIR model

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Tomas J. Aragon, Michael P. Fay, Daniel Wollschlaeger, Adam Omidpanah
  • Dependencies: R

  • Add information on this software.


  • Related software:
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  • Rbgl
  • amei
  • gnm
  • CODA
  • R2WinBUGS
  • ordinal
  • gmodels
  • GRASS GIS
  • spatstat
  • simcausal
  • Show less...

References in zbMATH (referenced in 5 articles )

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

  1. Van der Laan, Mark J.; Rose, Sherri: Targeted learning in data science. Causal inference for complex longitudinal studies (2018)
  2. Tan, Teck Kiang: Doubly classified model with R (2017)
  3. Ekstrøm, Claus Thorn: The R primer (2016)
  4. Daniel Merl; Leah Johnson; Robert Gramacy; Marc Mangel: amei: An R Package for the Adaptive Management of Epidemiological Interventions (2010) not zbMATH
  5. Bivand, Roger S.; Pebesma, Edzer J.; Gómez-Rubio, Virgilio: Applied spatial data analysis with R (2008)

  • Article statistics & filter:

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

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