Package: Rgof 3.1.0
Rgof: 1d Goodness of Fit Tests
Routines that allow the user to run a large number of goodness-of-fit tests. It allows for data to be continuous or discrete. It includes routines to estimate the power of the tests and display them as a power graph. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.
Authors:
Rgof_3.1.0.tar.gz
Rgof_3.1.0.zip(r-4.5)Rgof_3.1.0.zip(r-4.4)Rgof_3.1.0.zip(r-4.3)
Rgof_3.1.0.tgz(r-4.5-x86_64)Rgof_3.1.0.tgz(r-4.5-arm64)Rgof_3.1.0.tgz(r-4.4-x86_64)Rgof_3.1.0.tgz(r-4.4-arm64)Rgof_3.1.0.tgz(r-4.3-x86_64)Rgof_3.1.0.tgz(r-4.3-arm64)
Rgof_3.1.0.tar.gz(r-4.5-noble)Rgof_3.1.0.tar.gz(r-4.4-noble)
Rgof_3.1.0.tgz(r-4.4-emscripten)Rgof_3.1.0.tgz(r-4.3-emscripten)
Rgof.pdf |Rgof.html✨
Rgof/json (API)
NEWS
# Install 'Rgof' in R: |
install.packages('Rgof', repos = c('https://wolfgangrolke.r-universe.dev', 'https://cloud.r-project.org')) |
- power_studies_results - Power_studies_results
- pvaluecdf - Pvaluecdf
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 19 days agofrom:f424581f47. Checks:12 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 13 2025 |
R-4.5-win-x86_64 | OK | Mar 13 2025 |
R-4.5-mac-x86_64 | OK | Mar 13 2025 |
R-4.5-mac-aarch64 | OK | Mar 13 2025 |
R-4.5-linux-x86_64 | OK | Mar 13 2025 |
R-4.4-win-x86_64 | OK | Mar 13 2025 |
R-4.4-mac-x86_64 | OK | Mar 13 2025 |
R-4.4-mac-aarch64 | OK | Mar 13 2025 |
R-4.4-linux-x86_64 | OK | Mar 13 2025 |
R-4.3-win-x86_64 | OK | Mar 13 2025 |
R-4.3-mac-x86_64 | OK | Mar 13 2025 |
R-4.3-mac-aarch64 | OK | Mar 13 2025 |
Exports:gof_powergof_testgof_test_adjusted_pvaluenewTSdiscplot_powerrun.studiestimecheck
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmicrobenchmarkmunsellnlmepillarpkgconfigR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr