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.

Contains Probability Mass Functions, Cumulative Mass
    Functions, Negative Log Likelihood value, parameter estimation and
    modeling data using Binomial Mixture Distributions (BMD) (Manoj et al
    (2013) <doi:10.5539/ijsp.v2n2p24>) and Alternate Binomial
    Distributions (ABD) (Paul (1985) <doi:10.1080/03610928508828990>),
    also Journal article to use the package(<doi:10.21105/joss.01505>).

For binomial outcome data Alternate Binomial Distributions
    and Binomial Mixture Distributions are fitted when overdispersion is
    available.

Fits Weibull or sigmoidal models to percent loss conductivity (plc) curves as a function of plant water potential, computes confidence intervals of parameter estimates and predictions with bootstrap or parametric methods, and provides convenient plotting methods.

Genotyping assays for bi-allelic markers (e.g. SNPs) produce
	signal intensities for the two alleles. 'fitPoly' assigns genotypes 
	(allele dosages) to a collection of polyploid samples based on these
	signal intensities. 'fitPoly' replaces the older package 'fitTetra' that was
	limited (a.o.) to only tetraploid populations whereas 'fitPoly' accepts any
	ploidy level. Reference: Voorrips RE, Gort G, Vosman B (2011)
	<doi:10.1186/1471-2105-12-172>. 
	New functions added on conversion of data from SNP array software formats, 
	drawing of XY-scatterplots with or without genotype colors,
    checking against expected F1 segregation patterns,
    comparing results from two different assays (probes) for the same SNP,
    recovery from a saveMarkerModels() crash.