Package: dfmeta 1.0.0

dfmeta: Meta-Analysis of Phase I Dose-Finding Early Clinical Trials

Meta-analysis approaches for Phase I dose finding early phases clinical trials in order to better suit requirements in terms of maximum tolerated dose (MTD) and maximal dose regimen (MDR). This package has currently three different approaches: (a) an approach proposed by Zohar et al, 2011, <doi:10.1002/sim.4121> (denoted as ZKO), (b) the Variance Weighted pooling analysis (called VarWT) and (c) the Random Effects Model Based (REMB) algorithm, where user can input his/her own model based approach or use the existing random effect logistic regression model (named as glimem) through the 'dfmeta' package.

Authors:Artemis Toumazi <[email protected]>, Sarah Zohar <[email protected]>, Anand N. Vidyashankar <[email protected]>, Jie Xu <[email protected]> and Moreno Ursino <[email protected]>

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dfmeta/json (API)

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

Bug tracker:https://github.com/artemis-toumazi/dfmeta/issues

Datasets:

On CRAN:

Conda:

1.70 score 8 scripts 215 downloads 8 exports 39 dependencies

Last updated 7 years agofrom:2e992a7d1b. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 02 2025
R-4.5-winNOTEApr 02 2025
R-4.5-macNOTEApr 02 2025
R-4.5-linuxNOTEApr 02 2025
R-4.4-winOKApr 02 2025
R-4.4-macOKApr 02 2025
R-4.4-linuxOKApr 02 2025
R-4.3-winOKApr 02 2025
R-4.3-macOKApr 02 2025

Exports:doseRecordsfindFirstLastglimemMA_estimatesplotshowVarWTZKO

Dependencies:bootclicolorspacedata.tablefansifarverggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrpillarpkgconfigplyrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangscalestibbleutf8vctrsviridisLitewithr