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nor1mix
View on CRAN: Click
here
Download and install nor1mix package within the R console
Install from CRAN:
install.packages("nor1mix")
Install from Github:
library("remotes")
install_github("cran/nor1mix")
Install by package version:
library("remotes")
install_version("nor1mix", "1.3-3")
Attach the package and use:
library("nor1mix")
Maintained by
Martin Maechler
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2003-11-15
Latest Update: 2019-06-13
Description:
Onedimensional Normal (i.e. Gaussian) Mixture Models (S3) Classes,
for, e.g., density estimation or clustering algorithms research and teaching;
providing the widely used Marron-Wand densities. Efficient random
number generation and graphics. Fitting to data by efficient ML (Maximum
Likelihood) or traditional EM estimation.
How to cite:
Martin Maechler (2003). nor1mix: Normal aka Gaussian 1-d Mixture Models. R package version 1.3-3, https://cran.r-project.org/web/packages/nor1mix. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0-1 (2003-11-15 22:29), 1.0-2 (2003-12-23 19:31), 1.0-4 (2004-06-25 18:49), 1.0-5 (2005-05-03 09:28), 1.0-6 (2006-08-03 12:33), 1.0-7 (2007-06-12 20:20), 1.1-1 (2009-11-26 17:33), 1.1-2 (2010-03-02 17:58), 1.1-3 (2011-04-14 18:45), 1.1-4 (2013-04-19 16:10), 1.2-0 (2014-09-02 18:09), 1.2-1 (2015-07-27 10:52), 1.2-2 (2016-08-25 10:00), 1.2-3 (2017-08-30 14:50), 1.3-0 (2019-06-13 15:20), 1.3-2 (2023-11-14 15:10)
Other packages that cited nor1mix R package
View nor1mix citation profile
Other R packages that nor1mix depends,
imports, suggests or enhances
Complete documentation for nor1mix
Functions, R codes and Examples using
the nor1mix R package
Some associated functions: MarronWand . clus2norMix . dnorMix . llnorMix . nor1mix-package . norMix . norMix2call . norMixFit . plot.norMix . pnorMix . r.norMix . rnorMix . sort.norMix .
Some associated R codes: norMix.R . norMixEM.R . safeUroot.R . zMarrWand-dens.R . zzz.R . Full nor1mix package functions and examples
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