predict.PLNfit: Predict counts of a new sample

In PLN-team/PLNmodels: Poisson Lognormal Models

Predict counts of a new sample

Description

Predict counts of a new sample

Usage

## S3 method for class 'PLNfit'
predict(
  object,
  newdata,
  responses = NULL,
  level = 1,
  type = c("link", "response"),
  ...
)

Arguments

object	an R6 object with class PLNfit
newdata	A data frame in which to look for variables and offsets with which to predict
responses	Optional data frame containing the count of the observed variables (matching the names of the provided as data in the PLN function), assuming the interest in in testing the model.
level	Optional integer value the level to be used in obtaining the predictions. Level zero corresponds to the population predictions (default if responses is not provided) while level one (default) corresponds to predictions after evaluating the variational parameters for the new data.
type	The type of prediction required. The default is on the scale of the linear predictors (i.e. log average count)
...	additional parameters for S3 compatibility. Not used

Value

A matrix of predicted log-counts (if type = "link") or predicted counts (if type = "response").

PLN-team/PLNmodels documentation built on April 15, 2024, 9:01 a.m.