triangle_mle: Maximum likelihood estimate of the triangle distribution...

In triangle: Distribution Functions and Parameter Estimates for the Triangle Distribution

Maximum likelihood estimate of the triangle distribution parameters

Description

Maximum likelihood estimate of the triangle distribution parameters

Usage

triangle_mle(x, debug = FALSE, maxiter = 100)

Arguments

x	sample from a triangle distribution
debug	if TRUE then the function will check the input parameters
maxiter	the maximum number of cycles of optimization between maximizing a and b given c and maximizing c given a an b

Value

an object of S3 class triangle_mle containing a list with the call, coefficients, variance co-variance matrix, minimum negative log likelihood, details of the optimization number of observations, and the sample

References

Samuel Kotz and Johan Rene van Dorp. Beyond Beta doi: 10.1142/5720

Examples

xtest <- c(0.1, 0.25, 0.3, 0.4, 0.45, 0.6, 0.75, 0.8)
triangle_mle(xtest)

triangle documentation built on Dec. 28, 2022, 2:09 a.m.