tidyBF (version 0.5.1)

bf_meta_random: Bayes factor for random-effects meta-analysis

Description

Bayes factor for random-effects meta-analysis

Usage

bf_meta_random(data, metaBMA.args = list(), ...)

Arguments

data

A dataframe. It must contain columns named estimate (effect sizes or outcomes) and std.error (corresponding standard errors). These two columns will be used for y and SE arguments in metaBMA::meta_random.

metaBMA.args

A list of additional arguments to be passed to metaBMA::meta_random.

...

Arguments passed on to bf_extractor

conf.level

Confidence/Credible Interval (CI) level. Default to 0.95 (95%).

k

Number of digits after decimal point (should be an integer) (Default: k = 2L).

top.text

Text to display on top of the Bayes Factor message. This is mostly relevant in the context of ggstatsplot functions.

output

If "expression", will return expression with statistical details, while "dataframe" will return a dataframe containing the results.

Examples

# NOT RUN {
# }
# NOT RUN {
# setup
set.seed(123)
library(metaBMA)

# creating a dataframe
(df <-
  structure(
    .Data = list(
      study = c("1", "2", "3", "4", "5"),
      estimate = c(
        0.382047603321706,
        0.780783111514665,
        0.425607573765058,
        0.558365541235078,
        0.956473848429961
      ),
      std.error = c(
        0.0465576338644502,
        0.0330218199731529,
        0.0362834986178494,
        0.0480571500648261,
        0.062215818388157
      )
    ),
    row.names = c(NA, -5L),
    class = c("tbl_df", "tbl", "data.frame")
  ))

# to get dataframe
bf_meta_random(
  data = df,
  k = 3,
  metaBMA.args = list(iter = 500, rscale_discrete = 0.880),
  output = "dataframe"
)
# }
# NOT RUN {
# }