Attempts to determine the variance/covariance matrix,
confidence intervals and CV percent for a list of parameter estimates
parameters. This method was taken from the ADAPT 5 User's Guide
chapter 3.
solution_statistics(parameters, cfg)list containing information about the provided estimates
list of parameter estimates
ubiquity system object
The returned list has the following format:
objective - objective function value
num_observations - number of observations
degrees_of_freedom - degrees of freedom
aic - Akaike information criterion
bic - Bayesian (Schwarz) information criterion
covariance - variance covariance matrix
wls - defined for weighted least squares objective with the following elements:
jacobian - Jacobian matrix
weights - diagonal matrix of weights
error_variance - diagonal matrix of variances
ml - defined for maximum likelihood objective with the following elements:
M - Jacobian matrix with block for variance parameters
coefficient_of_variation$pname - CV percent for parameter pname
confidence_interval$lower_bound$pname - Lower bound of the confidence interval for pname
confidence_interval$upper_bound$pname - Upper bound of the confidence interval for pname
Vignette on estimation (vignette("Estimation", package = "ubiquity"))