Package: MCPModBC 1.1
Diego Gallardo
MCPModBC: Improved Inference in Multiple Comparison Procedure – Modelling
Implementation of Multiple Comparison Procedures with Modeling (MCP-Mod) procedure with bias-corrected estimators and second-order covariance matrices as described in Diniz, Gallardo and Magalhaes (2023) <doi:10.1002/pst.2303>.
Authors:
MCPModBC_1.1.tar.gz
MCPModBC_1.1.tar.gz(r-4.5-noble)MCPModBC_1.1.tar.gz(r-4.4-noble)
MCPModBC_1.1.tgz(r-4.4-emscripten)MCPModBC_1.1.tgz(r-4.3-emscripten)
MCPModBC.pdf |MCPModBC.html✨
MCPModBC/json (API)
NEWS
# Install 'MCPModBC' in R: |
install.packages('MCPModBC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:dee8fd0aad. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
Exports:data_generatormcpmod_simulationmodel_responseweibfit
Dependencies:clicodetoolscolorspacedigestdoParalleldoRNGDoseFindingdplyrfansifarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnleqslvnlmepillarpkgconfigR6RColorBrewerrlangrngtoolsscalessurvivaltibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Data Generator | data_generator |
Simulation to obtain operating characteristics for MCP-Mod design | mcpmod_simulation |
Model Responser | model_response |
Summary of simulation results | print.mcpmod_simulation summary.mcpmod_simulation |
Print a summary for a object of the 'weibreg' class. | print.weibreg summary.weibreg |
Computes different estimators for the censored Weibull regression model | weibfit |