predict: predict

In dlmtree: Bayesian Treed Distributed Lag Models

predict

Description

predict generic function for S3method

Usage

predict(
  x,
  new.data,
  new.exposure.data,
  ci.level = 0.95,
  type = "response",
  outcome = NULL,
  fixed.idx = list(),
  est.dlm = FALSE,
  verbose = TRUE,
  ...
)

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

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

Arguments

x	fitted dlmtree model with class 'hdlm', 'hdlmm'
new.data	new data frame which contains the same covariates and modifiers used to fit the model
new.exposure.data	new data frame/list which contains the same length of exposure lags used to fit the 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
...	not used

Value

list with the following elements:

ztg

posterior predictive mean of fixed effect

ztg.lims

lower/upper bound of posterior predictive distribution of fixed effect

dlmest

estimated exposure effect

dlmest.lower

lower bound of estimated exposure effect

dlmest.upper

upper bound of estimated exposure effect

fhat

posterior predictive mean of exposure effect

fhat.lims

lower/upper bound of posterior predictive distribution of exposure effect

y

posterior predictive mean

y.lims

lower/upper bound of posterior predictive distribution

dlmtree documentation built on June 8, 2025, 12:39 p.m.