predict.hdlm: Calculates predicted response for HDLM

In dlmtree: Bayesian Treed Distributed Lag Models

Calculates predicted response for HDLM

Description

Method for calculating predicted response for HDLM

Usage

## S3 method for class 'hdlm'
predict(
  object,
  new.data,
  new.exposure.data,
  ci.level = 0.95,
  type = "response",
  outcome = NULL,
  fixed.idx = list(),
  est.dlm = FALSE,
  verbose = TRUE,
  ...
)

Arguments

object	fitted dlmtree model with class hdlm
new.data	new data frame which contains the same covariates and modifiers used to fit HDLM model
new.exposure.data	new data frame/list which contains the same length of exposure lags used to fit HDLM model
ci.level	credible interval level for posterior predictive distribution
type	type of prediction: "response" (default) or "waic". "waic" must be specified with 'outcome' parameter
outcome	outcome required for WAIC calculation
fixed.idx	fixed index
est.dlm	flag for estimating dlm effect
verbose	TRUE (default) or FALSE: print output
...	additional parameters

Details

predict.hdlm

Value

Posterior predictive distribution draws

dlmtree documentation built on June 22, 2024, 10:05 a.m.