densityratio (version 0.2.1)

predict.ulsif: Obtain predicted density ratio values from a ulsif object

Description

Obtain predicted density ratio values from a ulsif object

Usage

# S3 method for ulsif
predict(
  object,
  newdata = NULL,
  sigma = c("sigmaopt", "all"),
  lambda = c("lambdaopt", "all"),
  ...
)

Value

An array with predicted density ratio values from possibly new data, but otherwise the numerator samples.

Arguments

object

A ulsif object

newdata

Optional matrix new data set to compute the density

sigma

A scalar with the Gaussian kernel width

lambda

A scalar with the regularization parameter

...

Additional arguments to be passed to the function

See Also

predict, ulsif

Examples

set.seed(123)
# Fit model
dr <- ulsif(numerator_small, denominator_small)
# Inspect model object
dr
# Obtain summary of model object
summary(dr)
# Plot model object
plot(dr)
# Plot density ratio for each variable individually
plot_univariate(dr)
# Plot density ratio for each pair of variables
plot_bivariate(dr)
# Predict density ratio and inspect first 6 predictions
head(predict(dr))
# Fit model with custom parameters
ulsif(numerator_small, denominator_small, sigma = 2, lambda = 2)