objFunction {varTestnlme} | R Documentation |
Internal functions for constrained minimization
Description
Groups of functions used for the constrained minimization problem arising in the computation of the likelihood ratio test statistics.
Usage
objFunction(x, cst)
gradObjFunction(x, cst)
symMatrixFromVect(x)
ineqCstr(x, cst)
jacobianIneqCstr(x, cst)
eqCstr(x, cst)
jacobianEqCstr(x, cst)
Arguments
x |
A vector |
cst |
A list of constants to be passed to the optimisation function |
Value
value of the objective function, its gradient, and the set of inequality and equality constraints
Functions
-
objFunction()
: objective function to be optimized -
gradObjFunction()
: gradient of the objective function -
symMatrixFromVect()
: function creating a symmetric matrix from its unique elements stored in a vector -
ineqCstr()
: set of inequality constraints -
jacobianIneqCstr()
: jacobian of the inequality constraints -
eqCstr()
: set of equality constraints -
jacobianEqCstr()
: jacobian of the inequality constraints
[Package varTestnlme version 1.3.5 Index]