Package: GTDL 1.0.0

GTDL: The Generalized Time-Dependent Logistic Family

Computes the probability density, survival function, the hazard rate functions and generates random samples from the GTDL distribution given by Mackenzie, G. (1996) <doi:10.2307/2348408>. The likelihood estimates, the randomized quantile (Louzada, F., et al. (2020) <doi:10.1109/ACCESS.2020.3040525>) residuals and the normally transformed randomized survival probability (Li,L., et al. (2021) <doi:10.1002/sim.8852>) residuals are obtained for the GTDL model.

Authors:Jalmar Carrasco [aut, cre], Luciano Santana [aut], Lizandra Fabio [aut]

GTDL_1.0.0.tar.gz
GTDL_1.0.0.zip(r-4.7)GTDL_1.0.0.zip(r-4.6)GTDL_1.0.0.zip(r-4.5)
GTDL_1.0.0.tgz(r-4.6-any)GTDL_1.0.0.tgz(r-4.5-any)
GTDL_1.0.0.tar.gz(r-4.7-any)GTDL_1.0.0.tar.gz(r-4.6-any)
GTDL_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GTDL/json (API)

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

Bug tracker:https://github.com/carrascojalmar/gtdl/issues

Datasets:

On CRAN:

Conda:

2.70 score 3 scripts 288 downloads 8 exports 3 dependencies

Last updated from:ddbbf2f10b. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE121
source / vignettesOK127
linux-release-x86_64NOTE113
macos-release-arm64NOTE104
macos-oldrel-arm64NOTE100
windows-develNOTE98
windows-releaseNOTE83
windows-oldrelNOTE85
wasm-releaseOK94

Exports:dGTDLhGTDLmle1.GTDLmle2.GTDLnrsp.GTDLrandom.quantile.GTDLrGTDLsGTDL

Dependencies:latticeMatrixsurvival