triangle_mle: 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)
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
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
References
Samuel Kotz and Johan Rene van Dorp. Beyond Beta tools:::Rd_expr_doi("10.1142/5720")