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

3 votes154 views1 answer
R language comment
R
0 vote133 views1 answer
Conditional mean statement r
R
4 votes177 views1 answer
Correlation matrix in r
R
0 vote136 views2 answers
Convert a row to a column in r
R
0 vote130 views1 answer
Pass argument to group_by (2)
R
1 vote127 views2 answers
Create a dataframe with column names in r
R
0 vote129 views1 answer
Combine ro columns in r
R
1 vote127 views1 answer
How to extract weekday from date in r
R
3 votes129 views3 answers
R set dataframe column names
R
1 vote118 views1 answer
R create new calculated column
R