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35 lines
1.2 KiB
35 lines
1.2 KiB
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/utils-stats.R
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\name{assess_multimodels}
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\alias{assess_multimodels}
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\title{Assess multiple pairs of measured and predicted values}
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\usage{
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assess_multimodels(
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data,
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...,
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.metrics = c("simplerspec", "yardstick"),
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.model_name = "model"
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)
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}
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\arguments{
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\item{data}{Data frame with all measured (observed) and predicted variables.}
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\item{...}{Multiple arguments with observed (measured)-predicted pairs,
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specified with \code{dplyr::vars(o = <column_name>, p = <column_name>)}.
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Column names can strings or symbols. The arguments in \code{...} need to be named.}
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\item{.metrics}{Character vector with package used for metrics calculation.
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Default is \code{"simplerspec"}, which uses
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\code{simplerspec::evaluate_model()}.}
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\item{.model_name}{String with name for the new column that specifies the
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model or the outcome variable. Default is \code{"model"}.}
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}
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\value{
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Data frame with with summary statistics for measured values and
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performance metrics for the pairs of measured and predicted values.
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}
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\description{
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Return performance metrics for test set predictions and
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measured values, e.g. for different model outcome variables.
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}
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