Creates a list containing all draws necessary to estimate a model with mixing.
apollo_makeDraws(apollo_control, apollo_draws, database, silent = FALSE)List. Contains options for the estimation See apollo_validatecontrol for details.
List of arguments describing the inter and intra individual draws.
Character. Type of inter-individual draws ('MLHS', 'halton' or 'pmc').
Numeric scalar (>=0). Number of inter-individual draws per individual. Set to 0 if not using them.
Character vector. Names of uniform-distributed inter-individual draws.
Character vector. Names of normaly distributed inter-individual draws.
Character. Type of intra-individual draws ('MLHS', 'halton' or 'pmc').
Numeric scalar (>=0). Number of intra-individual draws per individual. Set to 0 if not using them.
Character vector. Names of uniform-distributed intra-individual draws.
Character vector. Names of normaly distributed intra-individual draws.
data.frame. Model data.
Boolean. If true, then no information is printed to console or default output. FALSE by default.
List. Each element is an array of draws representing a random component of the mixing model. The last element is a copy of argument apollo_draws.
This function creates a list whose elements are the sets of draws requested by the user for use in a model with mixing.
If the model does not include mixing, then it is not necessary to run this function.
The number of draws have a massive impact on memory usage and estimation time. Memory usage and number of computations
scale geometrically as N*inter_nDraws*intra_nDraws (where N is the number of observations). Special care should be taken
when using both inter and intra draws, as memory usage can easily reach the GB order of magnitude. Also, keep in
mind that using several threads (i.e. multicore) at least doubles the memory usage.
This function returns a list, with each element representing a random component of the mixing model (except the last
element, which is a copy of the argument apollo_draws). The dimensions of the array depends on the type of draws used.
If only inter-individual draws are used, then draws are stored as 2-dimensional arrays (i.e. matrices).
If intra-individual draws are used, then draws are stored as 3-dimensional arrays.
The first dimension of the arrays (rows) correspond with the observations in the database.
The second dimension of the arrays (columns) correspond to the number of inter-individual draws.
The third dimension of the arrays correspond to the number of intra-individual draws.