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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling source/ R- | fitmix_0.1.1.tar.gz |
5.9 KiB |
0.1.1 |
latest source/ R- | fitmix_0.1.1.tar.gz |
5.9 KiB |
0.1.1 |
2026-04-23 source/ R- | fitmix_0.1.1.tar.gz |
5.9 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | fitmix_0.1.1.zip |
43.9 KiB |