multinom.mle: MLE for multivariate discrete data In Rfast: A Collection of Efficient and Extremely Fast R Functions

 MLE for multivariate discrete data R Documentation

MLE for multivariate discrete data

Description

MLE for multivariate discrete data.

Usage

``````multinom.mle(x)
dirimultinom.mle(x, tol = 1e-07)
colpoisson.mle(x)
colgeom.mle(x, type = 1)
``````

Arguments

 `x` A matrix with discrete valued non negative data. `tol` the tolerance level to terminate the Newton-Raphson algorithm for the Dirichlet multinomial 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 the Poisson and geometric distributions we simply fit independent Poisson and geometric distributions respectively.

Value

A list including:

 `loglik` A vector with the value of the maximised log-likelihood. `param` A vector of the parameters.

Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr> and Manos Papadakis <papadakm95@gmail.com>.

References

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

Minka Thomas (2012). Estimating a Dirichlet distribution. Technical report.

``` poisson.mle, zip.mle, ztp.mle, negbin.mle, poisson.nb ```

Examples

``````x <- t( rmultinom(1000, 20, c(0.4, 0.5, 0.1) ) )
res<-multinom.mle(x)
res<-colpoisson.mle(x)
x <- NULL
``````

Rfast documentation built on Nov. 9, 2023, 5:06 p.m.