CODEWITHSUNDEEP
regressioncranlog-likelihood
AlBradley
AlBradley

Reputation: 1

How to implement in R the function mle2 if I want to handle a single parameter vector and not a list of scalar parameters

I tried to run this code but returns an error

library(bbmle)

# Define the log-likelihood function using a single parameter vector 'theta'
loglik <- function(theta, data) {
mu <- theta[1]   # Extract mu from the parameter vector
sigma <- theta[2] # Extract sigma from the parameter vector

# Negative log-likelihood for a normal distribution
-sum(dnorm(data, mean = mu, sd = sigma, log = TRUE))
}

set.seed(123)
data <- rnorm(100, mean = 5, sd = 2)

# Fit the model
fit <- mle2(loglik, start = list(theta = c(0, 1)), data = list(data = data))

# View the fit results
summary(fit)

`

Errore in validObject(.Object) : oggetto classe “mle2” non valido: invalid object for slot "fullcoef" in class "mle2": got class "NULL", should be or extend class "numeric"

I don't understand how mle2 handles parameter vectors, e.g., vector of regression coefficients

Upvotes: 0

Views: 4

Answers (0)

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