CRAN/E | AdaptGauss

AdaptGauss

Gaussian Mixture Models (GMM)

Installation

About

Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chi-squared test and Kolmogorov-Smirnov test. The package is based on the publication of Ultsch, A., Thrun, M.C., Hansen-Goos, O., Lotsch, J. (2015) doi:10.3390/ijms161025897.

www.uni-marburg.de/fb12/datenbionik/software-en
Bug report File report

Key Metrics

Version 1.5.6
R ≥ 2.10
Published 2020-02-03 1335 days ago
Needs compilation? yes
License GPL-3
CRAN checks AdaptGauss results

Downloads

Last 24 hours 0 -100%
Last 7 days 89 -21%
Last 30 days 409 -20%
Last 90 days 1.323 -10%
Last 365 days 5.808 -32%

Maintainer

Maintainer

Michael Thrun

m.thrun@gmx.net

Authors

Michael Thrun

aut / cre

Onno Hansen-Goos

aut / rev

Rabea Griese
ctr

ctb

Catharina Lippmann
ctr
Florian Lerch

ctb / rev

Jorn Lotsch

dtc / rev / fnd / ctb

Alfred Ultsch

aut / cph / ths

Material

Reference manual
Package source

Vignettes

Short Intro into Gaussian Mixture Models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

AdaptGauss archive

Depends

R ≥ 2.10

Imports

Rcpp
shiny
pracma
methods
DataVisualizations

Suggests

mclust
grid
foreach
dqrng
parallelDist
knitr ≥ 1.12
rmarkdown ≥ 0.9
reshape2
ggplot2

LinkingTo

Rcpp

Reverse Imports

DistributionOptimization
IRISFGM
opGMMassessment
scapGNN
Umatrix

Reverse Suggests

DatabionicSwarm