Package: FitDynMix 1.0.1

FitDynMix: Estimation of Dynamic Mixtures

Estimation of a dynamic lognormal - Generalized Pareto mixture via the Approximate Maximum Likelihood and the Cross-Entropy methods. See Bee, M. (2023) <doi:10.1016/j.csda.2023.107764>.

Authors:Marco Bee [aut, cre]

FitDynMix_1.0.1.tar.gz
FitDynMix_1.0.1.zip(r-4.7-any)FitDynMix_1.0.1.zip(r-4.6-any)FitDynMix_1.0.1.zip(r-4.5-any)
FitDynMix_1.0.1.tgz(r-4.6-any)FitDynMix_1.0.1.tgz(r-4.5-any)
FitDynMix_1.0.1.tar.gz(r-4.7-any)FitDynMix_1.0.1.tar.gz(r-4.6-any)
FitDynMix_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
FitDynMix/json (API)

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

Bug tracker:https://github.com/marco-bee/fitdynmix/issues

Datasets:
  • Metro2019 - Population estimate of the US metropolitan areas

On CRAN:

Conda:

3.00 score 3 scripts 373 downloads 12 exports 17 dependencies

Last updated from:a43fa9fdc5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK92
source / vignettesOK159
linux-releaseOK99
macos-releaseOK127
macos-oldrelOK226
windows-develOK72
windows-releaseOK81
windows-oldrelOK93
wasm-releaseOK76

Exports:AMLEfitAMLEmodeCENoisyFitCENoisyFitBootcvm_stat_MddyndynloglikdynloglikMCMLEBootMLEfitnConst_MCrDynMix

Dependencies:evirFNNkernlabKernSmoothkslatticeMASSMatrixmclustmgcvmulticoolmvtnormnlmepracmarbibutilsRcppRdpack