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altmeta
View on CRAN: Click
here
Download and install altmeta package within the R console
Install from CRAN:
install.packages("altmeta")
Install from Github:
library("remotes")
install_github("cran/altmeta")
Install by package version:
library("remotes")
install_version("altmeta", "4.1")
Attach the package and use:
library("altmeta")
Maintained by
Lifeng Lin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-01
Latest Update: 2022-08-29
Description:
Provides alternative statistical methods for meta-analysis, including:
- bivariate generalized linear mixed models for synthesizing odds ratios, relative risks,
and risk differences
(Chu et al., 2012 )
- heterogeneity tests and measures and penalization methods that are robust to outliers
(Lin et al., 2017 ;
Wang et al., 2022 );
- measures, tests, and visualization tools for publication bias or small-study effects
(Lin and Chu, 2018 ;
Lin, 2019 ;
Lin, 2020 ;
Shi et al., 2020 );
- meta-analysis of diagnostic tests for synthesizing sensitivities, specificities, etc.
(Reitsma et al., 2005 ;
Chu and Cole, 2006 );
- meta-analysis methods for synthesizing proportions
(Lin and Chu, 2020 );
- models for multivariate meta-analysis, measures of inconsistency degrees of freedom
in Bayesian network meta-analysis, and predictive P-score
(Lin and Chu, 2018 ;
Lin, 2020 ;
Rosenberger et al., 2021 ).
How to cite:
Lifeng Lin (2016). altmeta: Alternative Meta-Analysis Methods. R package version 4.1, https://cran.r-project.org/web/packages/altmeta
Previous versions and publish date:
Other packages that cited altmeta R package
View altmeta citation profile
Other R packages that altmeta depends,
imports, suggests or enhances
Functions, R codes and Examples using
the altmeta R package
Some associated functions: dat.adams . dat.aex . dat.annane . dat.baker . dat.barlow . dat.beck17 . dat.bellamy . dat.bjelakovic . dat.bohren . dat.butters . dat.carless . dat.chor . dat.ducharme . dat.fib . dat.ha . dat.henry . dat.hipfrac . dat.kaner . dat.lcj . dat.paige . dat.plourde . dat.poole . dat.pte . dat.sc . dat.scheidler . dat.slf . dat.smith . dat.whiting . dat.williams . dat.xu . maprop.glmm . maprop.twostep . meta.biv . meta.dt . meta.pen . metahet . metaoutliers . metapb . mvma.bayesian . mvma.hybrid.bayesian . mvma.hybrid . mvma . nma.icdf . nma.predrank . pb.bayesian.binary . pb.hybrid.binary . pb.hybrid.generic . plot.meta.dt . plot.metaoutliers . print.meta.dt . ssfunnel .
Some associated R codes: check.counts.R . determine.lambda.R . find.counts.R . hypergeometric.R . maprop.glmm.R . maprop.twostep.R . meta.biv.R . meta.dt.R . meta.ml.R . meta.pen.R . metahet.R . metahet.base.R . metaoutliers.R . metapb.R . metapen.lambda.R . mvma.R . mvma.bayesian.R . mvma.fe.R . mvma.hybrid.R . mvma.hybrid.bayesian.R . mvma.re.R . nma.fe.c.R . nma.fe.ic.R . nma.icdf.R . nma.predrank.R . nma.re.c.R . nma.re.ic.R . pb.as.rank.R . pb.as.reg.R . pb.as.reg.het.R . pb.bay.R . pb.bayesian.binary.R . pb.count.R . pb.hybrid.binary.R . pb.hybrid.generic.R . pb.inv.n.R . pb.inv.sqrt.n.R . pb.n.R . pb.rank.R . pb.reg.R . pb.reg.bay.R . pb.reg.het.R . pb.score.R . pb.skew.R . pb.skew.het.R . pb.smoothed.R . pb.smoothed.het.R . pb.trimfill.R . plot.meta.dt.R . plot.metaoutliers.R . print.meta.dt.R . ssfunnel.R . ssfunnel.lor.R . ssfunnel.lrr.R . ssfunnel.md.R . ssfunnel.rd.R . ssfunnel.smd.R . tau2.m.solver.R . tau2.r.solver.R . tryCatch.W.E.R . Full altmeta package functions and examples
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