loglik: Log-likelihood

View source: R/loglik.R

loglikR Documentation

Log-likelihood

Description

This function calculates the log-likelihood at some parameter values given the random sample and distribution.

Usage

loglik(x, dist = "dnorm", param = list(mean = 0, sd = 1))

Arguments

x

numeric vector.

dist

density name for the distribution in the form dxxx. By default it's value is dnorm but can be used any density.

param

list with the parameter values at which can be calculated the log-likelihood.

Examples

# For Poisson distribution
x <- rpois(n=50, lambda=4.5)
loglik(x, dist='dpois', param=list(lambda=4))
loglik(x, dist='dpois', param=list(lamb=4.5))
loglik(x, dist='dpois', param=list(lambda=5))

# For normal distribution
y <- rnorm(n=100, mean=170, sd=10)
loglik(y, dist='dnorm', param=list(mean=170, sd=10))

# Un ejemplo invocando los datos de este paquete
data(condom)
dim(condom)

data(misdatos)
misdatos


fhernanb/prueba documentation built on May 11, 2023, 7:19 p.m.