blup.meta: Calculate best linear unbiased predictor for 'meta' object

In meta: General Package for Meta-Analysis

Calculate best linear unbiased predictor for meta object

Description

Calculate best linear unbiased predictors (BLUPs) for meta-analysis object created with R package meta.

Usage

## S3 method for class 'meta'
blup(x, level = x$level, backtransf = x$backtransf, ...)

## S3 method for class 'blup.meta'
print(
  x,
  backtransf = attr(x, "x")$backtransf,
  digits = gs("digits"),
  digits.se = gs("digits.se"),
  digits.tau2 = gs("digits.tau2"),
  digits.tau = gs("digits.tau"),
  big.mark = gs("big.mark"),
  se = FALSE,
  print.tau2 = gs("print.tau2"),
  print.tau = gs("print.tau"),
  details = gs("details"),
  ...
)

## S3 method for class 'blup.meta'
estimates(
  x,
  se = FALSE,
  backtransf = attr(x, "x")$backtransf,
  digits = gs("digits"),
  digits.se = gs("digits.se"),
  digits.tau2 = gs("digits.tau2"),
  digits.tau = gs("digits.tau"),
  writexl = !missing(path),
  path = "estimates_blup.xlsx",
  overwrite = FALSE,
  ...
)

## S3 method for class 'estimates.blup.meta'
print(x, big.mark = gs("big.mark"), details = gs("details"), ...)

Arguments

x	An object of class meta, blup.meta, or estimates.blup.meta.
level	The level used to calculate prediction intervals for BLUPs.
backtransf	A logical indicating whether BLUPs should be back transformed. If backtransf = TRUE, results for sm = "OR" will be odds ratios rather than log odds ratios, for example.
...	Additional arguments (passed on to prmatrix).
digits	Minimal number of significant digits, see print.default.
digits.se	Minimal number of significant digits for standard errors.
digits.tau2	Minimal number of significant digits for between-study variance \tau^2, see print.default.
digits.tau	Minimal number of significant digits for \tau, the square root of the between-study variance \tau^2.
big.mark	A character used as thousands separator.
se	A logical indicating whether standard errors should be printed / extracted.
print.tau2	A logical specifying whether between-study variance \tau^2 should be printed.
print.tau	A logical specifying whether \tau, the square root of the between-study variance \tau^2, should be printed.
details	A logical specifying whether details on statistical methods should be printed.
writexl	A logical indicating whether an Excel file should be created (R package writexl must be available).
path	A character string specifying the filename of the Excel file.
overwrite	A logical indicating whether an existing Excel file should be overwritten.

Value

Data frame with variables

studlab	Study label
blup	estimated best linear unbiased predictor
se.blup	standard error (only if argument backtransf = FALSE)
lower	lower prediction limits
upper	upper prediction limits

Author(s)

Guido Schwarzer [e-mail]

Examples

data("dat.bcg", package = "metadat")
m1 <- metabin(tpos, tpos + tneg, cpos, cpos + cneg,
  data = dat.bcg, studlab = paste(author, year), method = "Inverse")
summary(m1)
blup(m1)

## Not run: 
estimates(blup(m1), path = "blup_m1.xlsx")

## End(Not run)

meta documentation built on Oct. 31, 2024, 5:07 p.m.