fitmix: Finite Mixture Model Fitting of Lifespan Datasets

Fits the lifespan datasets of biological systems such as yeast, fruit flies, and other similar biological units with well-known finite mixture models introduced by Farewell V. (1982) <doi:10.2307/2529885> and Al-Hussaini et al. (2000) <doi:10.1080/00949650008812033>. Estimates parameter space fitting of a lifespan dataset with finite mixtures of parametric distributions. Computes the following tasks; 1) Estimates parameter space of the finite mixture model by implementing the expectation maximization (EM) algorithm. 2) Finds a sequence of four goodness-of-fit measures consist of Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Kolmogorov-Smirnov (KS), and log-likelihood (log-likelihood) statistics. 3)The initial values is determined by k-means clustering.

Version: 0.1.0
Depends: R (≥ 3.1.0)
Imports: stats
Suggests: rmarkdown, knitr
Published: 2021-04-19
Author: Emine Guven ORCID iD [aut, cre], Hong Qin [aut]
Maintainer: Emine Guven <emine.guven33 at gmail.com>
License: GPL-3
URL: https://github.com/guven-code/fitmix/
NeedsCompilation: no
CRAN checks: fitmix results

Documentation:

Reference manual: fitmix.pdf

Downloads:

Package source: fitmix_0.1.0.tar.gz
Windows binaries: r-devel: fitmix_0.1.0.zip, r-release: fitmix_0.1.0.zip, r-oldrel: fitmix_0.1.0.zip
macOS binaries: r-release (arm64): fitmix_0.1.0.tgz, r-release (x86_64): fitmix_0.1.0.tgz, r-oldrel: fitmix_0.1.0.tgz

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