smiles: Sequential Method in Leading Evidence Synthesis

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>.

Version:	0.1-0
Depends:	R (≥ 4.2.0)
Imports:	boot, graphics, grDevices, meta, stats, utils
Suggests:	bookdown, DiagrammeR, knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-08-23
DOI:	10.32614/CRAN.package.smiles
Author:	Enoch Kang [aut, cre]
Maintainer:	Enoch Kang <y.enoch.kang at gmail.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
Language:	en-US
Materials:	README
CRAN checks:	smiles results

Documentation:

Reference manual:	smiles.pdf
Vignettes:	An overview on R-pakcage smiles (source, R code)

Downloads:

Package source:	smiles_0.1-0.tar.gz
Windows binaries:	r-devel: smiles_0.1-0.zip, r-release: smiles_0.1-0.zip, r-oldrel: smiles_0.1-0.zip
macOS binaries:	r-release (arm64): smiles_0.1-0.tgz, r-oldrel (arm64): smiles_0.1-0.tgz, r-release (x86_64): smiles_0.1-0.tgz, r-oldrel (x86_64): smiles_0.1-0.tgz

Linking:

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