Package: fmx 0.1.2

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, cph], Inna Chervoneva [ctb, cph]

fmx_0.1.2.tar.gz
fmx_0.1.2.zip(r-4.5)fmx_0.1.2.zip(r-4.4)
fmx_0.1.2.tgz(r-4.4-any)
fmx_0.1.2.tar.gz(r-4.5-noble)fmx_0.1.2.tar.gz(r-4.4-noble)
fmx_0.1.2.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'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

48 exports 0.71 score 24 dependencies 1 dependents 7 scripts 460 downloads

Last updated 5 months agofrom:b10d88cdac. Checks:OK: 3 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 29 2024
R-4.5-winNOTEAug 29 2024
R-4.5-linuxNOTEAug 29 2024
R-4.4-winOKAug 29 2024
R-4.4-macOKAug 29 2024

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

Readme and manuals

Help Manual

Help pageTopics
Finite Mixture Parametrizationfmx-package
Subset of Components in fmx Object[,fmx,ANY,ANY,ANY-method
Empirical Density Functionapproxdens
Turn Various Objects to fmx Classas.fmx
Convert fitdist Objects to fmx Classas.fmx.fitdist
Convert 'mixEM' Objects to fmx Classas.fmx.mixEM
Convert 'Normal' fit from 'mixsmsn' to fmxas.fmx.Normal
Convert 'Skew.normal' Object to fmxas.fmx.Skew.normal
Convert 'Skew.t' fit from 'mixsmsn' to fmxas.fmx.Skew.t
Convert 't' fit from 'mixsmsn' to fmxas.fmx.t
Parameter Estimates of fmx objectcoef.fmx
Confidence Interval of fmx Objectconfint.fmx
Inverse of fmx2dbl, for internal usedbl2fmx
Density, Distribution and Quantile of Finite Mixture Distributiondfmx pfmx qfmx rfmx
Distribution Parameters that needs to have a log-transformationdist_logtrans
Name(s) of Formal Argument(s) of DistributiondistArgs
Distribution TypedistType
Create fmx Object for Finite Mixture Distributionfmx
Parameter Constraint(s) of Mixture Distributionfmx_constraint
Diagnoses for fmx EstimatesCramerVonMises_fmx fmx_diagnosis Kolmogorov_fmx KullbackLeibler_fmx
fmx Class: Finite Mixture Parametrizationfmx-class
Reparameterization of fmx Objectfmx2dbl
TeX Label (of Parameter Constraint(s)) of fmx ObjectgetTeX
One-Sample Kolmogorov DistanceKolmogorov_dist
Log-Likelihood of fitdist ObjectlogLik.fitdist
Log-Likelihood of fmx ObjectlogLik.fmx
Log-Likelihood of ''mixEM'' ObjectlogLik.mixEM
Maximum a Posteriori clusteringMaP
Names of Distribution Parameters of ''mixEM'' ObjectmixEM_pars
Multinomial Probabilities & Logitsmlogis pmlogis_first pmlogis_last qmlogis_first qmlogis_last
Moment of Each Component in an fmx Objectmoment_fmx
Creates fmx Object with Given Component-Wise Momentsmoment2fmx
Number of Observations in fitdist Objectnobs.fitdist
Number of Parameters of fmx Objectnpar.fmx
S3 print of fmx Objectprint.fmx
Obtain 'interval' for vuniroot2 for Function qfmxqfmx_interval
Show fmx Objectshow,fmx-method
Sort Objects from 'mixsmsn' by Location Parameterssort.Normal sort.Skew.normal sort.Skew.t sort.t sort_mixsmsn
Sort ''mixEM'' Object by First Parameterssort.mixEM
Formalize User-Specified Constraint of fmx Objectuser_constraint
Variance-Covariance of fmx Objectvcov.fmx