Package: TLCAR 0.1.0
TLCAR: Computation of Topp-Leone Cauchy Rayleigh (TLCAR ) distribution's properties
Provides a comprehensive suite of statistical tools for analyzing, simulating, and computing properties of the Topp-Leone Cauchy Rayleigh (TLCAR) distribution, a versatile distribution amalgamating features of the Topp-Leone, Cauchy, and Rayleigh distributions, ideal for modeling intricate, heterogeneous data across scientific domains. See Atchadé, M.N., Bogninou, M.J., and Djibril, A.M. (2023) <doi:10.1007/s44199-023-00066-4> and Atchadé, M.N., Bogninou, M.J., and Djibril, A.M. (2024) <doi:10.1007/s44199-023-00069-1> for further insights.
Authors:
TLCAR_0.1.0.tar.gz
TLCAR_0.1.0.zip(r-4.5)TLCAR_0.1.0.zip(r-4.4)TLCAR_0.1.0.zip(r-4.3)
TLCAR_0.1.0.tgz(r-4.4-any)TLCAR_0.1.0.tgz(r-4.3-any)
TLCAR_0.1.0.tar.gz(r-4.5-noble)TLCAR_0.1.0.tar.gz(r-4.4-noble)
TLCAR_0.1.0.tgz(r-4.4-emscripten)TLCAR_0.1.0.tgz(r-4.3-emscripten)
TLCAR.pdf |TLCAR.html✨
TLCAR/json (API)
| # Install 'TLCAR' in R: |
| install.packages('TLCAR', repos = c('https://judepower1.r-universe.dev', 'https://cloud.r-project.org')) |
- ConductorFailureTimes - Dataset: ConductorFailureTimes
- Tree_diameters - Dataset: Tree_diameters
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 months agofrom:6d7872846d. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:ConductorFailureTimescTLCARdTLCARfTLCARploTLCARqTLCARrTLCARsTLCARtemp_varTree_diameters
Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisLitewithr
