Description Usage Arguments Value
Computes the values of directional derivative function on an user-defined grid and returns its maximal value.
1 2 3 4 5 | equivalence(DESIGN = NULL, PSO_RESULT = NULL, ngrid = 100,
IFPLOT = FALSE, MODEL_INFO, DISTANCE, dsLower, dsUpper,
crit_type = "pair_fixed_true", MaxMinStdVals = NULL,
PSO_INFO = NULL, LBFGS_INFO = NULL, ALPHA_PSO_INFO = NULL,
environment, ...)
|
PSO_RESULT |
list. |
ngrid |
integer. The default is 100. |
IFPLOT |
logical. |
MODEL_INFO |
list of information of competing models. For details, run |
DISTANCE |
function. |
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. |
DESIGN1 |
matrix. |
An List.
Grid_1 a vector of grid points on the design space. For 2-D case, this vector is the grid of the first dimension.
Grid_2 a vector of grid points on the second dimension of the 2-D design space. For 1_d case, this output can be ignored.
DirDeriv a vector (1-D case) or a matrix (2-D case) of the directional derivative function values on the grid points.
MAX_DD the maximal value of the directional derivative function in DirDeriv
.
alpha a vector of weights of efficiency values that satisfies the equivalence theorem for max-min optimal discrimination design.
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