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 et al. (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:	0.1.1
Depends:	R (≥ 3.1.0)
Imports:	stats
Suggests:	rmarkdown, knitr
Published:	2026-02-23
DOI:	10.32614/CRAN.package.fitmix
Author:	Emine Guven [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

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