tl_influence_measures: Calculate influence measures for a linear model
In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem
tl_influence_measures R Documentation
Calculate influence measures for a linear model
Description
Calculate influence measures for a linear model
Usage
tl_influence_measures(
model,
threshold_cook = NULL,
threshold_leverage = NULL,
threshold_dffits = NULL
)
Arguments
model
A tidylearn model object
threshold_cook
Cook's distance threshold (default: 4/n)
threshold_leverage
Leverage threshold (default: 2*(p+1)/n)
threshold_dffits
DFFITS threshold (default: 2*sqrt((p+1)/n))
Value
A data frame with influence measures
tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.
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| tl_influence_measures | R Documentation |
Calculate influence measures for a linear model
Description
Calculate influence measures for a linear model
Usage
tl_influence_measures(
model,
threshold_cook = NULL,
threshold_leverage = NULL,
threshold_dffits = NULL
)
Arguments
model |
A tidylearn model object |
threshold_cook |
Cook's distance threshold (default: 4/n) |
threshold_leverage |
Leverage threshold (default: 2*(p+1)/n) |
threshold_dffits |
DFFITS threshold (default: 2*sqrt((p+1)/n)) |
Value
A data frame with influence measures
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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