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Package: r-cran-matchit (3.0.1-1)

GNU R package of nonparametric matching methods

MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2004) for improving parametric statistical models by preprocessing data with nonparametric matching methods.

MatchIt implements a wide range of sophisticated matching methods, making it possible to greatly reduce the dependence of causal inferences on hard-to-justify, but commonly made, statistical modeling assumptions. The software also easily fits into existing research practices since, after preprocessing with MatchIt, researchers can use whatever parametric model they would have used without MatchIt, but produce inferences with substantially more robustness and less sensitivity to modeling assumptions. MatchIt is an R program, and also works seamlessly within Zelig.

Other Packages Related to r-cran-matchit

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  • dep: r-api-3.4
    virtual package provided by r-base-core
  • dep: r-base-core (>= 3.4.3-1)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-mass
    GNU R package of Venables and Ripley's MASS
  • dep: r-cran-matching
    multivariate and propensity score matching with balance optimization
  • dep: r-cran-rgenoud
    R Version of GENetic Optimization Using Derivatives
  • sug: r-cran-mgcv
    GNU R package for multiple parameter smoothing estimation
  • sug: r-cran-nnet
    GNU R package for feed-forward neural networks
  • sug: r-cran-rpart
    GNU R package for recursive partitioning and regression trees
  • sug: r-cran-testthat
    GNU R testsuite

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