DTAmetasa: Sensitivity Analysis for Publication Bias in Meta-analysis of Diagnostic Test Accuracy

dtametasa is for likelihood-based sensitivity analysis for publication bias on SROC/SAUC in meta-analysis of diagnostic studies

Installation

You can install the released version from GitHub with:

# install.packages("devtools")
devtools::install_github("meta2020/dtametasa")
library(dtametasa)

Data Format

Two formats of data are applicable:

• Data with TP, FN, FP, TN as column names

• Data after logit-transformation with y1, y2, v1, v2 as column names

The column names of data must be either of the above.