mle_weibull_dist: Weibull MLE parameters and Model selection

In ssarda/genomeutils: Utilities for Genome Analysis

Description

This function accepts a vector with all values of a given unknown distribution It estimates the maximum likelihood parameters by fitting a weibull distribution over it. General-purpose optimization to estimate parameters is based on Nelder–Mead algorithm The Akaike Information Criterion is also output to enable downstream model selection

Usage

mle_weibull_dist(X, start_k, start_lambda)

Arguments

X	A Vector of values.
start_k	Initial value to begin optimization at for shape of weibull distribution
start_lambda	Initial value to begin optimization at for sscale of weibull distribution

Value

A vector containing the optimized MLE mean and standard deviation as well as the log likelihood and AIC to enable downstream model selection

ssarda/genomeutils documentation built on May 30, 2019, 8:42 a.m.