standard_triangle_mle: Maximum likelihood estimate of the standard triangle...

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

Maximum likelihood estimate of the standard triangle distribution mode

Description

Maximum likelihood estimate of the standard triangle distribution mode

Usage

standard_triangle_mle(x, debug = FALSE)

Arguments

x	sample from a triangle distribution
debug	if TRUE then the function will check the input parameters and print calculation information

Value

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

References

Samuel Kotz and Johan Rene van Dorp. Beyond Beta \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1142/5720")}

Examples

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

xtest <- rtriangle(20, 0, 1, 0.63)
standard_triangle_mle(xtest)

bertcarnell/triangle documentation built on July 4, 2025, 12:41 a.m.