MLE of the zero inflated Gamma and Weibull distributions
MLE of the zero inflated Gamma and Weibull distributions.
zigamma.mle(x, tol = 1e-07) ziweibull.mle(x, tol = 1e-07)
x |
A numerical vector with positive data and zeros. |
tol |
The tolerance value to terminate the Newton-Raphson algorithm. |
MLE of some zero inflated models is performed.
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. |
Michail Tsagris
R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr>
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.
x <- rgamma(200, 4, 1) x[sample(1:200, 20)] <- 0 zigamma.mle(x)
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