predict.ZIPLNfit: 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 'ZIPLNfit'
predict(
  object,
  newdata,
  responses = NULL,
  level = 1,
  type = c("link", "response", "deflated"),
  ...
)

Arguments

object	an R6 object with class ZIPLNfit
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	Scale used for the prediction. Either "link" (default, predicted positions in the latent space), "response" (predicted average counts, accounting for zero-inflation) or "deflated" (predicted average counts, not accounting for zero-inflation and using only the PLN part of the model).
...	additional parameters for S3 compatibility. Not used

Details

Note that level = 1 can only be used if responses are provided, as the variational parameters can't be estimated otherwise. In the absence of responses, level is ignored and the fitted values are returned

Note also that when type = "response" corresponds to predicting values with (1 - \pi)A, where A is the average count in the PLN part of the model and \pi the probability of zero-inflation, whereas type = "deflated" corresponds to A.

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