Veras Miscellaneous
Divide variable based on quantiles
Error
Absolute error
Absolute percent error
Percent error
Squared error
Extract information from the trained models from a cross-validation
Check whether value is outlier
Limits of agreement
Abort based on issues with function argument
Abort based on column not being found in a data frame
Abort method if class is not implemented
Abort if required package is not installed
Model accuracy
Params for the accuracy indices summary functions
Params for the accuracy indices functions
Bias
Compute body mass index (BMI)
Classify body mass index (BMI) category
Center variable
Checks whether a package is installed
Clear the console
Clean observations
Compare models accuracy
Create a project
Leave-one-out cross-validation
Last error
Number of elements in a vector.
Internal vctrs methods
Mean error
Mean absolute error
Mean absolute percent error
Mean percent error
Mean square error
Root mean square error
Constructor for lvmisc_accuracy object
Constructor for lvmisc_cv object
Value matching
Print all rows of a data frame or tibble
percent vector
Computes the percent change
Create a Bland-Altman plot
Plot model diagnostics
Quick plotting
Compute R squared
Repeat baseline levels
Capture a backtrace
Variance inflation factor
Contains a collection of useful functions for basic data computation and manipulation, wrapper functions for generating 'ggplot2' graphics, including statistical model diagnostic plots, methods for computing statistical models quality measures (such as AIC, BIC, r squared, root mean squared error) and general utilities.