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mada
View on CRAN: Click
here
Download and install mada package within the R console
Install from CRAN:
install.packages("mada")
Install from Github:
library("remotes")
install_github("cran/mada")
Install by package version:
library("remotes")
install_version("mada", "0.5.11")
Attach the package and use:
library("mada")
Maintained by
Philipp Doebler
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-05-26
Latest Update: 2022-07-15
Description:
Provides functions for diagnostic meta-analysis. Next to basic analysis and visualization the bivariate Model of Reitsma et al. (2005) that is equivalent to the HSROC of Rutter & Gatsonis (2001) can be fitted. A new approach based to diagnostic meta-analysis of Holling et al. (2012) is also available. Standard methods like summary, plot and so on are provided.
How to cite:
Philipp Doebler (2012). mada: Meta-Analysis of Diagnostic Accuracy. R package version 0.5.11, https://cran.r-project.org/web/packages/mada. Accessed 02 Feb. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for mada
Functions, R codes and Examples using
the mada R package
Some associated functions: AUC . CIrho . ROCellipse . SummaryPts . cochran.Q . crosshair . forest . mada-data . mada-package . madad . madauni-class . madauni . mslSROC . phm-class . phm . predv_d-class . predv_d . predv_r-class . predv_r . reitsma-class . reitsma . rsSROC . sens . talpha .
Some associated R codes: AUC.R . ROCellipse.R . SummaryPoints.R . basics.R . beta_parms.R . crosshair.R . forest.R . madad.R . madauni.R . mslSROC.R . phm.R . predv_d.R . predv_r.R . reitsma.R . reitsmaGibbs.R . reitsmaMCMC.R . rsSROC.R . sroc.R . t_alpha.R . Full mada package functions and examples
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