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FindIt
View on CRAN: Click
here
Download and install FindIt package within the R console
Install from CRAN:
install.packages("FindIt")
Install from Github:
library("remotes")
install_github("cran/FindIt")
Install by package version:
library("remotes")
install_version("FindIt", "1.2.0")
Attach the package and use:
library("FindIt")
Maintained by
Naoki Egami
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.FindIt . FindIt results . FindIt.pdf . FindIt_1.2.0.tar.gz . FindIt_1.2.0.zip . FindIt_1.2.0.zip . FindIt_1.2.0.zip . FindIt_1.2.0.tgz . FindIt_1.2.0.tgz . FindIt_1.2.0.tgz . FindIt_1.2.0.tgz . FindIt_1.2.0.tgz . FindIt_1.2.0.tgz . FindIt archive . https://CRAN.R-project.org/package=FindIt .
First Published: 2012-12-10
Latest Update: 2019-11-20
Description:
The heterogeneous treatment effect estimation procedure
proposed by Imai and Ratkovic (2013).
The proposed method is applicable, for
example, when selecting a small number of most (or least)
efficacious treatments from a large number of alternative
treatments as well as when identifying subsets of the
population who benefit (or are harmed by) a treatment of
interest. The method adapts the Support Vector Machine
classifier by placing separate LASSO constraints over the
pre-treatment parameters and causal heterogeneity parameters of
interest. This allows for the qualitative distinction between
causal and other parameters, thereby making the variable
selection suitable for the exploration of causal heterogeneity.
The package also contains a class of functions, CausalANOVA,
which estimates the average marginal interaction effects (AMIEs)
by a regularized ANOVA as proposed by Egami and Imai (2019).
It contains a variety of regularization techniques to facilitate
analysis of large factorial experiments.
How to cite:
Naoki Egami (2012). FindIt: Finding Heterogeneous Treatment Effects. R package version 1.2.0, https://cran.r-project.org/web/packages/FindIt. Accessed 04 Apr. 2025.
Previous versions and publish date:
Other packages that cited FindIt R package
View FindIt citation profile
Other R packages that FindIt depends,
imports, suggests or enhances
Complete documentation for FindIt
Functions, R codes and Examples using
the FindIt R package
Some associated functions: Carlson . CausalANOVA . ConditionalEffect . FindIt-package . FindIt . GerberGreen . LaLonde . cv.CausalANOVA . plot.CausalANOVA . plot.PredictFindIt . predict.FindIt . summary.CausalANOVA . summary.FindIt . test.CausalANOVA .
Some associated R codes: CausalANOVA.R . CausalANOVAFit.R . CoefExtract.R . Collapsing.R . ConditionalEffect.R . CreateANOVAconst.R . CreateCoef.R . CreateWeights.R . CreatelevelIndex.R . FindIt-package.R . FullVCOV.R . Glsei.R . Lcombinefunction.R . NoRegularization.R . PsyConstraintCombine.R . SVMHet.R . SceenINT.R . Zcombinefunction.R . cluster.R . cv.CausalANOVA.R . indTwo2Three.R . lengthSlack.R . makeallway.R . maketwoway.R . plot.CausalANOVA.R . plot.PredictEffect.R . plot.cv.CausalANOVA.R . predict.FindIt.R . rangeCausalANOVAFit.R . stab.CausalANOVA.R . summary.CausalANOVA.R . summary.FindIt.R . test.CausalANOVA.R . Full FindIt package functions and examples
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