mles_beta: Get Maximum Likelihood Estimates for Beta Distribution

In vandomed/accelerometry: Functions for Processing Accelerometer Data

Description

Same idea as fitdistr function in MASS, but has default starting values and uses nlminb rather than optim.

Usage

mles_beta(x, start = c(0.5, 0.5))

Arguments

x	Observations assumed to be iid Beta(alpha, beta).
start	Starting values for alpha and beta.

Examples

# Generate data from Beta(1, 2) and get MLE's
set.seed(1)
x <- rbeta(n = 1000, shape1 = 1, shape2 = 2)
mles <- mles_beta(x)
mles$par

vandomed/accelerometry documentation built on May 26, 2019, 5:34 a.m.