Log likelihood in r

# Calculate the log-likelihood for each term
log_likelihoods <- log(y_pred) * y_actual + log(1 - y_pred) * (1 - y_actual)

# Calculate minus the sum of the log-likelihoods for each term
-sum(log_likelihoods)

#function
calc_neg_log_likelihood <- function(coeffs) {
  intercept <- coeffs[1]
  slope <- coeffs[2]
  y_pred <- plogis(intercept + slope * x_actual)
  log_likelihoods <- log(y_pred) * y_actual + log(1 - y_pred) * (1 - y_actual)
  -sum(log_likelihoods)
}

Similar codes

0 vote201 views1 answer
Slope by row r
R
0 vote210 views1 answer
Ggplot2 font times new roman
R
0 vote202 views1 answer
Extract r squared from lm in r
R
0 vote230 views1 answer
Emf from r plot
R
1 vote206 views1 answer
R type of all columns
R
0 vote214 views1 answer
Update r from rstudio
R
1 vote202 views1 answer
R lists vs vectors
R
0 vote168 views1 answer
Gradient background ggplot
R
0 vote213 views1 answer
R: rename a column
R
0 vote205 views1 answer
R na if
R