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fmx (version 0.1.2)

Finite Mixture Parametrization

Description

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.

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Version

Install

install.packages('fmx')

Monthly Downloads

574

Version

0.1.2

License

GPL-2

Maintainer

Tingting Zhan

Last Published

April 30th, 2024

Functions in fmx (0.1.2)

fmx-class

fmx Class: Finite Mixture Parametrization
logLik.mixEM

Log-Likelihood of 'mixEM' Object
dfmx

Density, Distribution and Quantile of Finite Mixture Distribution
sort.mixEM

Sort 'mixEM' Object by First Parameters
moment2fmx

Creates fmx Object with Given Component-Wise Moments
distType

Distribution Type
getTeX

TeX Label (of Parameter Constraint(s)) of fmx Object
show,fmx-method

Show fmx Object
vcov.fmx

Variance-Covariance of fmx Object
sort_mixsmsn

Sort Objects from mixsmsn by Location Parameters
mlogis

Multinomial Probabilities & Logits
fmx_diagnosis

Diagnoses for fmx Estimates
qfmx_interval

Obtain interval for vuniroot2 for Function qfmx
logLik.fitdist

Log-Likelihood of fitdist Object
moment_fmx

Moment of Each Component in an fmx Object
logLik.fmx

Log-Likelihood of fmx Object
nobs.fitdist

Number of Observations in fitdist Object
npar.fmx

Number of Parameters of fmx Object
print.fmx

S3 print of fmx Object
mixEM_pars

Names of Distribution Parameters of 'mixEM' Object
user_constraint

Formalize User-Specified Constraint of fmx Object
[,fmx,ANY,ANY,ANY-method

Subset of Components in fmx Object
fmx2dbl

Reparameterization of fmx Object
fmx_constraint

Parameter Constraint(s) of Mixture Distribution
as.fmx.Normal

as.fmx.t

as.fmx.Skew.t

as.fmx.fitdist

Convert fitdist Objects to fmx Class
Kolmogorov_dist

One-Sample Kolmogorov Distance
as.fmx.mixEM

Convert mixEM Objects to fmx Class
dbl2fmx

Inverse of fmx2dbl, for internal use
MaP

Maximum a Posteriori clustering
as.fmx

Turn Various Objects to fmx Class
as.fmx.Skew.normal

Convert Skew.normal Object to fmx
approxdens

Empirical Density Function
distArgs

Name(s) of Formal Argument(s) of Distribution
coef.fmx

Parameter Estimates of fmx object
confint.fmx

Confidence Interval of fmx Object
dist_logtrans

Distribution Parameters that needs to have a log-transformation
fmx-package

Finite Mixture Parametrization
fmx

Create fmx Object for Finite Mixture Distribution