classPriors: Class Priors

In rfPermute: Estimate Permutation p-Values for Random Forest Importance Metrics

Class Priors

Description

Compute the class classification priors and class-specific model binomial p-values using these priors as null hypotheses.

Usage

classPriors(x, sampsize)

Arguments

x	a rfPermute or randomForest model object.
sampsize	the vector of sample sizes used to construct the model. If provided, must have length equal to number of classes. If set to NULL, priors will be computed assuming empirical sample sizes.

Author(s)

Eric Archer [e-mail]

See Also

balancedSampsize, confusionMatrix

Examples

library(randomForest)
data(mtcars)

# random sampling with replacement
rf <- randomForest(factor(am) ~ ., mtcars)
confusionMatrix(rf)
classPriors(rf, NULL)

# balanced design
sampsize <- balancedSampsize(mtcars$am)
rf <- randomForest(factor(am) ~ ., mtcars, replace = FALSE, sampsize = sampsize)
confusionMatrix(rf)
classPriors(rf, sampsize)

rfPermute documentation built on Aug. 24, 2023, 1:08 a.m.