densityratio (version 0.2.1)

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

Description

Obtain predicted density ratio values from a lhss object

Usage

# S3 method for lhss
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 lhss 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, lhss

Examples

set.seed(123)
# Fit model (minimal example to limit computation time)
dr <- lhss(numerator_small, denominator_small,
           nsigma = 5, nlambda = 3, ncenters = 50, maxit = 100)
# 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))