genD
(Package: numDeriv) :
Generate Bates and Watts D Matrix
Generate a matrix of function derivative information.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: genD, genD.default
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Calculate (accurate) numerical approximations to derivatives.
● Data Source:
CranContrib
● Keywords: package
● Alias: numDeriv-package, numDeriv.Intro
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jacobian
(Package: numDeriv) :
Gradient of a Vector Valued Function
Calculate the m by n numerical approximation of the gradient of a real m-vector valued function with n-vector argument.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: jacobian, jacobian.default
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hessian
(Package: numDeriv) :
Calculate Hessian Matrix
Calculate a numerical approximation to the Hessian matrix of a function at a parameter value.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: hessian, hessian.default
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Calculate (accurate) numerical approximations to derivatives.
● Data Source:
CranContrib
● Keywords: package
● Alias: 00.numDeriv.Intro
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grad
(Package: numDeriv) :
Numerical Gradient of a Function
Calculate the gradient of a function by numerical approximation.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: grad, grad.default
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