Package: fmx 0.1.3

fmx: Finite Mixture Parametrization

A parametrization framework for finite mixture distribution using S4 objects. Density, cumulative density, quantile and simulation functions are defined. Currently normal, Tukey g-&-h, skew-normal and skew-t distributions are well tested. The gamma, negative binomial distributions are being tested.

Authors:Tingting Zhan [aut, cre], Inna Chervoneva [ctb]

fmx_0.1.3.tar.gz
fmx_0.1.3.zip(r-4.5)fmx_0.1.3.zip(r-4.4)
fmx_0.1.3.tgz(r-4.5-any)fmx_0.1.3.tgz(r-4.4-any)
fmx_0.1.3.tar.gz(r-4.5-noble)fmx_0.1.3.tar.gz(r-4.4-noble)
fmx_0.1.3.tgz(r-4.4-emscripten)
fmx.pdf |fmx.html✨
fmx/json (API)
NEWS

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

Bug tracker:https://github.com/tingtingzhan/fmx/issues

On CRAN:

Conda:

3.48 score 1 packages 7 scripts 337 downloads 48 exports 24 dependencies

Last updated 14 days agofrom:2e94178fb5. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 18 2025
R-4.5-winOKMar 18 2025
R-4.5-macOKMar 18 2025
R-4.5-linuxOKMar 18 2025
R-4.4-winOKMar 18 2025
R-4.4-macOKMar 18 2025
R-4.4-linuxOKMar 18 2025

Exports:approxdensas.fmxas.fmx.fitdistas.fmx.mixEMas.fmx.Normalas.fmx.Skew.normalas.fmx.Skew.tcoef.fmxconfint.fmxCramerVonMises_fmxdbl2fmxdfmxdist_logtransdistArgsdistTypefmxfmx_constraintfmx2dblgetTeXKolmogorov_distKolmogorov_fmxKullbackLeibler_fmxlogLik.fitdistlogLik.fmxlogLik.mixEMMaPmixEM_parsmoment_fmxmoment2fmxnobs.fitdistnpar.fmxpfmxpmlogis_firstpmlogis_lastprint.fmxqfmxqfmx_intervalqmlogis_firstqmlogis_lastrfmxshowsort.mixEMsort.Normalsort.Skew.normalsort.Skew.tsort.tuser_constraintvcov.fmx

Dependencies:bbmlebdsmatrixBHfastGHQuadgoftestlatticeMASSMatrixMatrixModelsmgcvmnormtmvtnormnlmenumDerivparam2momentquantregRcppRcppArmadillorstpm2snSparseMsurvivalTukeyGH77VGAM