model.review.AUROCC: Area Under Receiver Operating Characteristics Curve (AUROCC)...
In itslwg/superlearnerr: Package for the SuperLearner vs clincians study
View source: R/model.review.AUROCC.r
Description
This function calculates AUROCC of predictions of the specified models.
Usage
1
2
model.review.AUROCC(study_sample, which_preds = c("pred_cat", "tc"),
outcome_name)
Arguments
study_sample
The study sample list. No default.
which_preds
Character vector with list name of predictions. Default: c('pred_cat', 'tc')
outcome_name
The name of the outcome variable. No default.
itslwg/superlearnerr documentation built on July 31, 2020, 7:37 a.m.
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View source: R/model.review.AUROCC.r
Description
This function calculates AUROCC of predictions of the specified models.
Usage
1 2 | model.review.AUROCC(study_sample, which_preds = c("pred_cat", "tc"),
outcome_name)
|
Arguments
study_sample |
The study sample list. No default. |
which_preds |
Character vector with list name of predictions. Default: c('pred_cat', 'tc') |
outcome_name |
The name of the outcome variable. No default. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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