Column-wise MLE of some discrete distributions {MLE}

Column-wise MLE of some discrete distributions

Description

Column-wise MLE of some discrete distributions.

Usage

coldisc.mle(x, distr = "poisson", type = 1)

Arguments

x

A numerical matrix with count data, dscrete data, integers. Each column refers to a different vector of observations of the same distribution.

distr

The distribution to fit, "poisson" stands for the Poisson, "geom" for the geometric distribution, "borel" for the Borel distribution and "gamma" for the Gamma distribution.

type

This is for the geometric distribution only. Type 1 refers to the case where the minimum is zero and type 2 for the case of the minimum being 1.

Details

For each column, the same distribution is fitted and its parameter and log-likelihood are computed.

Value

A matrix with two, columns. The first one contains the parameters of the distribution and the second columns contains the log-likelihood values.

Author(s)

Michail Tsagris and Sofia Piperaki.

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

References

Johnson Norman L., Kotz Samuel and Balakrishnan (1997). Discrete Multivariate Distributions. Wiley.

See Also

disc.mle

Examples

x <- matrix(rpois(1000 * 50, 10), ncol = 50)
a <- coldisc.mle(x, distr = "poisson")