designCriterion | R Documentation |
Computes the discrimination design criterion value
Computes the discrimination design criterion value
designCriterion(
DESIGN1,
MODEL_INFO,
DISTANCE,
dsLower,
dsUpper,
crit_type = "pair_fixed_true",
MaxMinStdVals = NULL,
PSO_INFO = NULL,
LBFGS_INFO = NULL,
environment,
...
)
designCriterion(
DESIGN1,
MODEL_INFO,
DISTANCE,
dsLower,
dsUpper,
crit_type = "pair_fixed_true",
MaxMinStdVals = NULL,
PSO_INFO = NULL,
LBFGS_INFO = NULL,
environment,
...
)
DESIGN1 |
matrix. The approximate design. |
MODEL_INFO |
list of information of competing models.
For details, run |
DISTANCE |
function. The R/C++ function of distance measure. For T-optimal design, the function is the squared difference of two models means. |
dsLower |
vector. The finite lower bounds of the design space. Its length should be equal to the dimension of design space. |
dsUpper |
vector. The finite upper bounds of the design space. Its length should be equal to the dimension of design space. |
crit_type |
string. The name of the case of the discrimination design problem. The default is 'pair_fixed_true'. |
MaxMinStdVals |
vector. The values of demoninators in the design efficiency calculation for finding max-min discrimination design. |
PSO_INFO |
list. PSO and BFGS options. |
An List.
cri_val the design criterion value of the resulting design in the PSO result or the given design.
theta2 a matrix of the parameters of each input model that result the design criterion value.
An List.
cri_val the design criterion value of the resulting design in the PSO result or the given design.
theta2 a matrix of the parameters of each input model that result the design criterion value.
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