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R/rand_forest_data.R

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@@ -148,7 +148,7 @@ grf_conf_int <- function(
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res <- vctrs::vec_cbind(res, std_err)
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}
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} else {
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rlang::abort(
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cli::cli_abort(
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"No confidence interval implementation for objects with class(es)
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{.cls {class(object$fit)[1]}}"
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)

R/rand_forest_grf.R

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#' Random forests via grf
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#' Generalized random forests via grf
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#'
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#' The \pkg{grf} fits models that create a large number of decision
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#' trees, each independent of the others. The final prediction uses all
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#' trees, each independent of the others. The final prediction uses
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#' predictions from the individual trees and combines them.
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#'
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#' @includeRmd man/rmd/rand_forest_grf.md details

man/details_rand_forest_grf.Rd

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