cumulative: Cumulative sensitivity analyses of meta-analysis results

In malcolmbarrett/tidymeta: Tidy and Plot Meta Analyses

Description

Conduct cumulative sensitivity analyses of meta-analysis results by adding studies in one at a time. cumulative works well with dplyr::arrange().

Usage

cumulative(x, prefix = "cumul_", conf.int = TRUE, exponentiate = FALSE,
  glance = FALSE, .f = metafor::cumul, ...)

Arguments

x	a tbl produced by meta_analysis() or by broom::tidy()
prefix	the prefix for the model result variables, e.g. estimate.
conf.int	logical. Should confidence intervals be included? Default is TRUE.
exponentiate	logical. Should results be exponentiated? Default is FALSE.
glance	logical. Should sensitivity model fit statistics be included? Default is FALSE.
.f	a function for sensitivity analysis. Default is metafor::cumul
...	additional arguments

Value

a tbl

Examples

library(dplyr)

meta_analysis(iud_cxca, yi = lnes, sei = selnes, slab = study_name) %>%
  arrange(desc(weight)) %>%
  cumulative()

malcolmbarrett/tidymeta documentation built on May 30, 2019, 11:42 a.m.