An emc object with a limited number of samples and subjects of the Forstmann dataset. The object is a nested list of lenght three, each list containing the MCMC samples of the respective chain. The MCMC samples are stored in the samples element.
samples_LNRAn emc object. An emc object is a list with a specific structure and elements, as outlined below.
A list of dataframes, one for each subject included
A character vector containing the model parameter names
The number of parameters in the model
The number of unique subject ID's in the data
A list containing the model functions
A logical vector indicating which parameters are nuisance parameters
A vector containing the unique subject ID's
The type of model e.g., "standard" or "diagonal"
A list that holds the prior for theta_mu (the model
parameters). Contains the mean (theta_mu_mean), covariance matrix
(theta_mu_var), degrees of freedom (v), and scale (A)
and inverse covariance matrix (theta_mu_invar)
A list with defined structure containing the samples, see the Samples Element section for more detail
A sampler list for nuisance parameters (in this case there are none), similarly structured to the overall samples list of one of the MCMC chains.
The samples element of a emc object contains the different types of samples
estimated by EMC2. These include the three main types of samples
theta_mu, theta_var and alpha as well as a number of
other items which are detailed here.
samples used for estimating the model parameters (group level), an array of size (n_pars x n_samples)
samples used for estimating the parameter covariance matrix, an array of size (n_pars x n_pars x n_samples)
samples used for estimating the subject random effects, an array of size (n_pars x n_subjects x n_samples)
A vector containing what PMwG stage each sample was drawn in
The winning particles log-likelihood for each subject and sample
Mixing weights used during the Gibbs step when creating a new sample for the covariance matrix
The inverse of the last samples covariance matrix
The index of the last sample drawn