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texteffect
View on CRAN: Click
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Download and install texteffect package within the R console
Install from CRAN:
install.packages("texteffect")
Install from Github:
library("remotes")
install_github("cran/texteffect") Install by package version:
library("remotes")
install_version("texteffect", "0.3") Attach the package and use:
library("texteffect")
Maintained by
Christian Fong
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First Published: 2017-11-27
Latest Update: 2019-03-24
Description:
Implements the approach described in Fong and Grimmer (2016) <https://aclweb.org/anthology/P/P16/P16-1151.pdf> for automatically discovering latent treatments from a corpus and estimating the average marginal component effect (AMCE) of each treatment.The data is divided into a training and test set.The supervised Indian Buffet Process (sibp) is used to discover latent treatments in the training set.The fitted model is then applied to the test set to infer the values of the latent treatments in the test set.Finally, Y is regressed on the latent treatments in the test set to estimate the causal effect of each treatment.
How to cite:
Christian Fong (2017). texteffect: Discovering Latent Treatments in Text Corpora and Estimating Their Causal Effects. R package version 0.3, https://cran.r-project.org/web/packages/texteffect. Accessed 26 Aug. 2026.
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Complete documentation for texteffect
Functions, R codes and Examples using
the texteffect R package
Some associated functions: BioSample . infer_Z . sibp . sibp_amce . sibp_exclusivity . sibp_param_search . sibp_top_words .
Some associated R codes: sibp.R . sibp_amce.R . sibp_exclusivity.R . sibp_infer_Z.R . sibp_param_search.R . sibp_rank_runs.R . sibp_top_words.R . sibp_updates.R . Full texteffect package functions and examples
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