BCD (version 0.1.1)

MLEbinomBCD: Maximum Likelihood Estimation for a Bivariate Binomial Distribution via Conditional Specification

Description

Estimates the parameters of a Bivariate Binomial Conditionals via Conditional Specification using maximum likelihood.

Usage

MLEbinomBCD(data, fixed_n1 = NULL, fixed_n2 = NULL, verbose = TRUE)

Value

A list of class "MLEpoisBCD" containing:

n1

estimated n1

n2

estimated n2

p1

estimated p1

p2

estimated p2

lambda

estimated lambda

logLik

Maximum log-likelihood achieved.

AIC

Akaike Information Criterion.

BIC

Bayesian Information Criterion.

convergence

Convergence status from the optimizer (0 means successful).

Arguments

data

A data frame or matrix with columns `X` and `Y`

fixed_n1

known value of `n1` (NULL to estimate)

fixed_n2

known value of `n2` (NULL to estimate)

verbose

logical; print progress

Examples

data <- rbinomBCD(n = 10,n1 = 5, n2 = 3, p1 = 0.6, p2 = 0.4, lambda = 1.2)
MLEbinomBCD(data)
MLEbinomBCD(data, fixed_n1 = 5, fixed_n2 = 3)