user_span_cutpointr: Calculate bandwidth for LOESS smoothing of metric functions...
In Thie1e/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.
Thie1e/cutpointr documentation built on Dec. 16, 2024, 7:42 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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