MLE of some truncated distributions
MLE of some truncated distributions.
trunccauchy.mle(x, a, b, tol = 1e-07) truncexpmle(x, b, tol = 1e-07)
x |
A numerical vector with continuous data. For the Cauchy distribnution, they can be anywhere on the real line. For the exponential distribution they must be strictly positive. |
a |
The lower value at which the Cauchy distribution is truncated. |
b |
The upper value at which the Cauchy or the exponential distribution is truncated. For the exponential this must be greater than zero. |
tol |
The tolerance value to terminate the fitting algorithm. |
Maximum likelihood of some truncated distributions is performed.
A list including:
iters |
The number of iterations reuired by the Newton-Raphson algorithm. |
loglik |
The log-likelihood. |
lambda |
The λ parameter in the exponential distribution. |
param |
The location and scale parameters in the Cauchy distribution. |
Michail Tsagris
R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr>
David Olive (2018). Applied Robust Statistics (Chapter 4).
http://lagrange.math.siu.edu/Olive/ol-bookp.htm
x <- rnorm(500) trunccauchy.mle(x, -1, 1)
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