performance_score_r2: Pearson's R-squared of Observations vs Predictions
In collinear: Automated Multicollinearity Management
View source: R/performance_score_r2.R
performance_score_r2 R Documentation
Pearson's R-squared of Observations vs Predictions
Description
Internal function to compute the R-squared of observations versus model predictions.
Usage
performance_score_r2(o = NULL, p = NULL)
Arguments
o
(required, numeric vector) Response values. Default: NULL
p
(required, numeric vector) Model predictions. Default: NULL
Value
numeric: Pearson R-squared
See Also
Other modelling_tools:
case_weights(),
model_formula(),
performance_score_auc(),
performance_score_v()
collinear documentation built on April 12, 2025, 1:36 a.m.
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View source: R/performance_score_r2.R
| performance_score_r2 | R Documentation |
Pearson's R-squared of Observations vs Predictions
Description
Internal function to compute the R-squared of observations versus model predictions.
Usage
performance_score_r2(o = NULL, p = NULL)
Arguments
o |
(required, numeric vector) Response values. Default: NULL |
p |
(required, numeric vector) Model predictions. Default: NULL |
Value
numeric: Pearson R-squared
See Also
Other modelling_tools:
case_weights(),
model_formula(),
performance_score_auc(),
performance_score_v()
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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