Package: smiles 0.1-0

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>.

Authors:Enoch Kang [aut, cre]

smiles_0.1-0.tar.gz
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smiles.pdf |smiles.html
smiles/json (API)

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

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 4 scripts 113 downloads 2 exports 48 dependencies

Last updated 2 months agofrom:b9ee0a53df. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 23 2024
R-4.5-winOKOct 23 2024
R-4.5-linuxOKOct 23 2024
R-4.4-winOKOct 23 2024
R-4.4-macOKOct 23 2024
R-4.3-winOKOct 23 2024
R-4.3-macOKOct 23 2024

Exports:DoTSAPlotCoRNET

Dependencies:bitbit64bootclicliprCompQuadFormcpp11crayondplyrfansigenericsgluehmslatticelifecyclelme4magrittrMASSmathjaxrMatrixmetametadatmetaforminqanlmenloptrnumDerivpbapplypillarpkgconfigprettyunitsprogresspurrrR6RcppRcppEigenreadrrlangstringistringrtibbletidyselecttzdbutf8vctrsvroomwithrxml2

An overview on R-pakcage smiles

Rendered fromAn_overview_on_pakcage_smiles.Rmdusingknitr::rmarkdownon Oct 23 2024.

Last update: 2024-08-24
Started: 2024-08-24