smiles-package

The purpose of R-package smiles is to provide a useful collection of
functions designed to apply sequential method in data synthesis and evidence
evaluation. This package is developed based on <a href="https://cran.r-project.org/package=meta">meta (version 7.0-0)</a> in R version 4.2.2 (2022-10-31 ucrt).

package

Trial sequential analysis emerges as an important method in data synthesis realm. It is necessary to integrate pooling methods and sequential analysis coherently, as discussed in the Chapter by Thomas, J., Askie, L.M., Berlin, J.A., Elliott, J.H., Ghersi, D., Simmonds, M., Takwoingi, Y., Tierney, J.F. and Higgins, J.P. (2019). "Prospective approaches to accumulating evidence". In Cochrane Handbook for Systematic Reviews of Interventions (eds J.P.T. Higgins, J. Thomas, J. Chandler, M. Cumpston, T. Li, M.J. Page and V.A. Welch). <doi:10.1002/9781119536604.ch22>.

Enoch Kang

smiles

Sequential Method in Leading Evidence Synthesis

smiles-package function

The purpose of R-package smiles is to provide a useful collection of
functions designed to apply sequential method in data synthesis and evidence
evaluation. This package is developed based on <a href='https://cran.r-project.org/package=meta'>meta (version 7.0-0)</a> in R version 4.2.2 (2022-10-31 ucrt).

smiles-package: smiles: Sequential Method In Leading Evidence Synthesis

Description

Arguments

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