Coordinates the MLE fitting process: runs the log-normal likelihood optimisation, optionally computes a likelihood profile, and runs a final detailed simulation with the estimated p_value.
fit_fb4_mle(
observed_weights,
processed_simulation_data,
estimate_sigma = TRUE,
oxycal = 13560,
confidence_level = 0.95,
compute_profile = FALSE,
profile_grid_size = 50,
verbose = FALSE
)List with MLE fitting results
Vector of observed final weights
Complete processed simulation data
Whether to estimate measurement error
Oxycalorific coefficient (J/g O2), default 13560
Confidence level for intervals, default 0.95
Whether to compute likelihood profile, default FALSE
Number of points in profile grid, default 50
Whether to show progress messages, default FALSE