fitted.blsmeta: Expected Values of the Predictive Distribution

In donaldRwilliams/blsmeta: Bayesian Location-Scale Meta-Analysis

Description

Compute the expected (analogous to "fitted") values for a blsmeta object.

Usage

## S3 method for class 'blsmeta'
fitted(
  object,
  newdata = NULL,
  es_id = TRUE,
  study_id = TRUE,
  summary = TRUE,
  cred = 0.95,
  digits = 3,
  ...
)

Arguments

object	An object of class blsmeta.
newdata	An optional data.frame for which to compute fit fitted values. Defaults to NULL, which then uses the original data used in blsmeta.
es_id	logical. Should the level two "random" effect be included (defaults to TRUE)
study_id	logical. Should the level three "random" effects be included (defaults to TRUE)?
summary	logical. Should the posterior samples be summarized (defaults to TRUE)?
cred	numeric. credible interval (defaults to 0.95).
digits	numeric. The desired number of digits for the summarized estimates (defaults to 3).
...	Currently ignored.

Value

A data frame of fitted values (when summary = TRUE),

Examples

library(psymetadata)

dat <- gnambs2020

fit <- blsmeta(yi = yi,
               vi = vi,
               es_id = es_id,
               data = dat)
               
fitted(fit)

donaldRwilliams/blsmeta documentation built on Dec. 20, 2021, 12:12 a.m.