Downsize a general design to a specific design
Source:R/downsizing_general_design.R
downsizing_general_design.RdFunction takes a design with potentially empty design
variables and rescues the design so that a FIM can be calculated using mftot.
Value
A list containing:
- ni
A vector of the number of samples in each group.
- xt
A matrix of sample times. Each row is a vector of sample times for a group.
- model_switch
A matrix that is the same size as xt, specifying which model each sample belongs to.
- x
A matrix for the discrete design variables. Each row is a group.
- a
A matrix of covariates. Each row is a group.
- bpop
A matrix of fixed effect parameter values.
See also
Other poped_input:
convert_variables(),
create.poped.database(),
create_design_space(),
create_design(),
poped.choose()