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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=smiles
to link to this page.