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

In densityratio: Distribution Comparison Through Density Ratio Estimation

Obtain predicted density ratio values from a lhss object

Description

Obtain predicted density ratio values from a lhss object

Usage

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

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

Value

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

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))

densityratio documentation built on June 8, 2025, 11:17 a.m.