user_span_cutpointr: Calculate bandwidth for LOESS smoothing of metric functions...
In cutpointr: Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks
View source: R/optimize_metric.R
user_span_cutpointr R Documentation
Calculate bandwidth for LOESS smoothing of metric functions by rule of thumb
Description
This function implements a rule of thumb for selecting the bandwidth when
smoothing a function of metric values per cutpoint value, particularly
in maximize_loess_metric and minimize_loess_metric.
Usage
user_span_cutpointr(data, x)
Arguments
data
A data frame
x
The predictor variable
Details
The function used for calculating the bandwidth is 0.1 * xsd / sqrt(xn),
where xsd is the standard deviation of the unique values of the predictor
variable (i.e. all cutpoints) and xn is the number of unique predictor values.
cutpointr documentation built on April 14, 2022, 1:06 a.m.
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View source: R/optimize_metric.R
| user_span_cutpointr | R Documentation |
Calculate bandwidth for LOESS smoothing of metric functions by rule of thumb
Description
This function implements a rule of thumb for selecting the bandwidth when
smoothing a function of metric values per cutpoint value, particularly
in maximize_loess_metric and minimize_loess_metric.
Usage
user_span_cutpointr(data, x)
Arguments
data |
A data frame |
x |
The predictor variable |
Details
The function used for calculating the bandwidth is 0.1 * xsd / sqrt(xn), where xsd is the standard deviation of the unique values of the predictor variable (i.e. all cutpoints) and xn is the number of unique predictor values.
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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