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@ -19530,3 +19530,37 @@ David M. Blei and co-authors and the C++ code for fitting LDA models using
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Gibbs sampling by Xuan-Hieu Phan and co-authors.")
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(license license:gpl2)))
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(define-public r-stm
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(package
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(name "r-stm")
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(version "1.3.5")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "stm" version))
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(sha256
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(base32
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"1yyfxaxqc6yq0yq68zhdnhpwpvsyp71dlmivn7zxixfmp932s6cn"))))
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(properties `((upstream-name . "stm")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-data-table" ,r-data-table)
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("r-glmnet" ,r-glmnet)
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("r-lda" ,r-lda)
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("r-matrix" ,r-matrix)
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("r-matrixstats" ,r-matrixstats)
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("r-quadprog" ,r-quadprog)
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("r-quanteda" ,r-quanteda)
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("r-rcpp" ,r-rcpp)
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("r-rcpparmadillo" ,r-rcpparmadillo)
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("r-slam" ,r-slam)
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("r-stringr" ,r-stringr)))
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(home-page "http://www.structuraltopicmodel.com/")
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(synopsis "Estimation of the Structural Topic Model")
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(description
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"The @dfn{Structural Topic Model} (STM) allows researchers to estimate
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topic models with document-level covariates. The package also includes tools
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for model selection, visualization, and estimation of topic-covariate
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regressions.")
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(license license:expat)))
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