loglogis_logl: A function to calculate the log-likelihood of Log-Logistics...

In marp: Model-Averaged Renewal Process

A function to calculate the log-likelihood of Log-Logistics model

Description

A function to calculate the log-likelihood of Log-Logistics model

Usage

loglogis_logl(param, x)

Arguments

param	parameters of Log-Logistics model
x	input data for Log-Logistics model

Value

returns the value of negative log-likelihood of the Log-Logistics model

Examples

set.seed(42)
data <-  rgamma(30,3,0.01)

# set some parameters
par_hat <- c(2.6037079185931518, 247.59811806509711) # estimated parameters
param <-  c(log(par_hat[2]),log(par_hat[1])) # input parameters for logl function

# calculate log-likelihood
result <- marp::loglogis_logl(param, data)

# print result
cat("-logl = ", result, "\n")

marp documentation built on Aug. 11, 2022, 5:10 p.m.