zigamma.mle: MLE of the zero inflated Gamma and Weibull distributions

In Rfast2: A Collection of Efficient and Extremely Fast R Functions II

MLE of the zero inflated Gamma and Weibull distributions

Description

MLE of the zero inflated Gamma and Weibull distributions.

Usage

zigamma.mle(x, tol = 1e-07)
ziweibull.mle(x, tol = 1e-07)

Arguments

x	A numerical vector with positive data and zeros.
tol	The tolerance value to terminate the Newton-Raphson algorithm.

Details

MLE of some zero inflated models is performed.

Value

A list including:

iters	The iterations required by the Newton-Raphson to estimate the parameters of the distribution for the non zero data.
loglik	The full log-likelihood of the model.
param	The parameters of the model.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

References

Sandra Taylor and Katherine Pollard (2009). Hypothesis Tests for Point-Mass Mixture Data with Application to Omics Data with Many Zero Values. Statistical Applications in Geneticsand Molecular Biology, 8(1): 1–43.

Kalimuthu Krishnamoorthy, Meesook Lee and Wang Xiao (2015). Likelihood ratio tests for comparing several gamma distributions. Environmetrics, 26(8):571-583.

See Also

zigamma.reg, gammapois.mle

Examples

x <- rgamma(200, 4, 1)
x[sample(1:200, 20)] <- 0
zigamma.mle(x)

Rfast2 documentation built on Aug. 8, 2023, 1:11 a.m.