predict.kmm {densityratio} | R Documentation |
Obtain predicted density ratio values from a kmm
object
Description
Obtain predicted density ratio values from a kmm
object
Usage
## S3 method for class 'kmm'
predict(object, newdata = NULL, sigma = c("sigmaopt", "all"), ...)
Arguments
object |
A |
newdata |
Optional |
sigma |
A scalar with the Gaussian kernel width |
... |
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
Examples
set.seed(123)
# Fit model
dr <- kmm(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
kmm(numerator_small, denominator_small,
nsigma = 5, ncenters = 100, nfold = 10,
constrained = TRUE)
[Package densityratio version 0.2.2 Index]