Package: fmx 0.2.0

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]

fmx_0.2.0.tar.gz
fmx_0.2.0.zip(r-4.7)fmx_0.2.0.zip(r-4.6)fmx_0.2.0.zip(r-4.5)
fmx_0.2.0.tgz(r-4.6-any)fmx_0.2.0.tgz(r-4.5-any)
fmx_0.2.0.tar.gz(r-4.7-any)fmx_0.2.0.tar.gz(r-4.6-any)
fmx_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fmx/json (API)

# 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:

3.23 score 17 scripts 605 downloads 28 exports 49 dependencies

Last updated from:e9d8697c91. Checks:8 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK167
source / vignettesOK169
linux-release-x86_64OK153
macos-release-arm64OK96
macos-oldrel-arm64FAIL89
windows-develOK112
windows-releaseOK117
windows-oldrelOK100
wasm-releaseOK147

Exports:approxdensas.fmxcoef.fmxconfint.fmxdbl2fmxdfmxdist_logtransdistArgsdistTypefmxfmx_constraintfmx2dblgetTeXlogLik.fmxmoment_fmxmoment2fmxnobs.fmxnpar.fmxpfmxpmlogisprint.fmxqfmxqfmx_intervalqmlogisrfmxshowuser_constraintvcov.fmx

Dependencies:base64encbbmlebdsmatrixclicpp11farverfastGHQuadgeomtextpathggplot2gluegoftestgtableisobandjsonlitelabelingLaplacesDemonlatex2explatticelifecyclelsodaMASSMatrixMatrixModelsmgcvmnormtmvtnormnlmenumDerivparam2momentpatchworkquantregR6RColorBrewerRcppRcppArmadillorlangrstpm2S7scalessnSparseMstringisurvivalsystemfontstextshapingTukeyGH77vctrsviridisLitewithr