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smiles  

Sequential Method in Leading Evidence Synthesis
View on CRAN: Click here


Download and install smiles package within the R console
Install from CRAN:
install.packages("smiles")

Install from Github:
library("remotes")
install_github("cran/smiles")

Install by package version:
library("remotes")
install_version("smiles", "0.1-0")



Attach the package and use:
library("smiles")
Maintained by
Enoch Kang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-08-23
Latest Update: 2024-08-23
Description:
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>.
How to cite:
Enoch Kang (2024). smiles: Sequential Method in Leading Evidence Synthesis. R package version 0.1-0, https://cran.r-project.org/web/packages/smiles. Accessed 23 Nov. 2024.
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