Package: mvmeta 1.0.3

mvmeta: Multivariate and Univariate Meta-Analysis and Meta-Regression

Collection of functions to perform fixed and random-effects multivariate and univariate meta-analysis and meta-regression.

Authors:Antonio Gasparrini

mvmeta_1.0.3.tar.gz
mvmeta_1.0.3.zip(r-4.5)mvmeta_1.0.3.zip(r-4.4)mvmeta_1.0.3.zip(r-4.3)
mvmeta_1.0.3.tgz(r-4.4-any)mvmeta_1.0.3.tgz(r-4.3-any)
mvmeta_1.0.3.tar.gz(r-4.5-noble)mvmeta_1.0.3.tar.gz(r-4.4-noble)
mvmeta_1.0.3.tgz(r-4.4-emscripten)mvmeta_1.0.3.tgz(r-4.3-emscripten)
mvmeta.pdf |mvmeta.html✨
mvmeta/json (API)
NEWS

# Install 'mvmeta' in R:
install.packages('mvmeta', repos = c('https://gasparrini.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/gasparrini/mvmeta/issues

Datasets:
  • berkey98 - Five Published Trials on Periodontal Disease
  • fibrinogen - Fibrinogen Studies Collaboration
  • hsls - High School Longitudinal Study
  • hyp - Ten Studies Assessing an Hypertension Treatment
  • p53 - Mutant p53 Gene and Squamous Cell Carcinoma
  • smoking - Meta-Analysis of Interventions to Promote Smoking Cessation

On CRAN:

30 exports 6 stars 6.40 score 1 dependencies 9 dependents 112 mentions 144 scripts 1.2k downloads

Last updated 5 years agofrom:01c767ae87. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-winNOTESep 06 2024
R-4.5-linuxNOTESep 06 2024
R-4.4-winNOTESep 06 2024
R-4.4-macNOTESep 06 2024
R-4.3-winNOTESep 06 2024
R-4.3-macNOTESep 06 2024

Exports:blupblup.mvmetacoef.mvmetainputcovinputnalogLik.mvmetamodel.frame.mvmetamodel.matrix.mvmetamvmetamvmeta.controlmvmeta.fitmvmeta.fixedmvmeta.mlmvmeta.mmmvmeta.remlmvmeta.vcmvmetaSimna.exclude.data.frame.mvmetana.omit.data.frame.mvmetapredict.mvmetaprint.mvmetaprint.qtest.mvmetaprint.summary.mvmetaqtestqtest.mvmetasimulate.mvmetasummary.mvmetavcov.mvmetavechMatxpndMat

Dependencies:mixmeta

Readme and manuals

Help Manual

Help pageTopics
Multivariate and Univariate Meta-Analysis and Meta-Regressionmvmeta-package
Five Published Trials on Periodontal Diseaseberkey98
Best Linear Unbiased Predictionsblup
Best Linear Unbiased Predictions from mvmeta Modelsblup.mvmeta
Extract Coefficients and (Co)Variance Matrix from mvmeta Objectscoef.mvmeta vcov.mvmeta
Fibrinogen Studies Collaborationfibrinogen
High School Longitudinal Studyhsls
Ten Studies Assessing an Hypertension Treatmenthyp
Input (Co)Variance Matricesinputcov
Input Missing Valuesinputna
Extract Log-Likelihood from mvmeta ObjectslogLik.mvmeta
Likelihood Functions for mvmeta Modelsiter.igls mlprof.fn mlprof.gr remlprof.fn remlprof.gr
Extract Model Frame and Design Matrix from mvmeta Objectsmodel.frame.mvmeta model.matrix.mvmeta
Fitting Multivariate and Univariate Meta-Analysis and Meta-Regression Modelsmvmeta mvmeta.fit
Ancillary Parameters for Controlling the Fit in mvmeta Modelsmvmeta.control
Fixed-Effects Estimator for mvmeta Modelsmvmeta.fixed
ML and REML Estimators for mvmeta Modelsmvmeta.ml mvmeta.reml
Method of Moments Estimator for mvmeta Modelsmvmeta.mm
Variance Components Estimator for mvmeta Modelsmvmeta.vc
Covariance Structures for mvmeta ModelsmvmetaCovStruct
mvmeta ObjectsmvmetaObject
Simulating Responses for mvmeta ModelsmvmetaSim simulate.mvmeta
Handling Missing Values in mvmeta Modelsna.exclude.data.frame.mvmeta na.omit.data.frame.mvmeta
Mutant p53 Gene and Squamous Cell Carcinomap53
Predicted Values from mvmeta Modelspredict.mvmeta
Cochran Q Test of Heterogeneityqtest
Cochran Q Test of Heterogeneity for mvmeta Modelsprint.qtest.mvmeta qtest.mvmeta
Meta-Analysis of Interventions to Promote Smoking Cessationsmoking
Summarizing mvmeta Modelsprint.mvmeta print.summary.mvmeta summary.mvmeta
Vectorization and Expansion of Symmetric MatricesvechMat xpndMat