Package: mixdist 0.5-5

Peter Macdonald

mixdist: Finite Mixture Distribution Models

Fit finite mixture distribution models to grouped data and conditional data by maximum likelihood using a combination of a Newton-type algorithm and the EM algorithm.

Authors:Peter Macdonald <[email protected]>, with contributions from Juan Du <[email protected]>

mixdist_0.5-5.tar.gz
mixdist_0.5-5.tar.gz(r-4.7-any)mixdist_0.5-5.tar.gz(r-4.6-any)
mixdist_0.5-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
mixdist/json (API)

# Install 'mixdist' in R:
install.packages('mixdist', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • bindat - Grouped Binomial Data
  • binpar - Starting Values of Parameters for the Binomial Data Set
  • cassie - Cassie's Length-Frequency Example
  • expdat - A Mixture Data of Three Exponential Distributions
  • fiftn80 - A Mixed Data with Fifteen Normal Components
  • normals - Scale Mixture Data with Three Normal Components
  • pearson - Karl Pearson's Crab Data
  • pearsonpar - Starting Values of Parameters for the Pearson's Data
  • pikdat5 - Heming Lake Pike Data
  • pike65 - Length-Frequency Data for Heming Lake Pike
  • pike65sg - Length-Frequency Data with Subsamples for Heming Lake Pike
  • pikepar - Starting Values of Parameters for the Pike Data
  • pikeraw - A Sample of Pike Lengths
  • poisdat - Grouped Poisson Data
  • poispar - Starting Values of Parameters for the Poisson Data Set

On CRAN:

Conda:

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

3.99 score 3 packages 109 scripts 446 downloads 16 mentions 22 exports 0 dependencies

Last updated from:264d68a75c. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK113
source / vignettesOK132
linux-release-x86_64OK112
wasm-releaseOK81

Exports:anova.mixas.mixdatacoef.mixconditdatfitted.mixgroupstatsgrpintprobis.mixdatamixmixconstrmixgroupmixpar2thetamixparammixtheta2parplot.mixplot.mixdataprint.mixsummary.mixtestconstrtestparweibullparweibullparinv

Dependencies: