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vselect
2023 Nov 03
0
new cv package: cross-validation of regression models
...e are also experimental "merMod", "lme", and
"glmmTMB" methods for mixed-effects models. cv() supports parallel
computations.
- mse() (mean-squared error) and BayesRule() are cross-validation
criteria ("cost functions"), suitable for use with cv().
- cvSelect() cross-validates a selection procedure for a regression
model. cvSelect() also supports parallel computations.
- selectStepAIC() is a model-selection procedure, suitable for use
with cvSelect(), based on the stepAIC() function in the MASS package.
- selectTrans() is a procedure for selecti...
2023 Nov 03
0
new cv package: cross-validation of regression models
...e are also experimental "merMod", "lme", and
"glmmTMB" methods for mixed-effects models. cv() supports parallel
computations.
- mse() (mean-squared error) and BayesRule() are cross-validation
criteria ("cost functions"), suitable for use with cv().
- cvSelect() cross-validates a selection procedure for a regression
model. cvSelect() also supports parallel computations.
- selectStepAIC() is a model-selection procedure, suitable for use
with cvSelect(), based on the stepAIC() function in the MASS package.
- selectTrans() is a procedure for selecti...