MCMCglmm (version 2.35)

Dtensor: Tensor of (mixed) partial derivatives

Description

Forms tensor of (mixed) partial derivatives

Usage

Dtensor(expr, name=NULL, mu = NULL, m=1, evaluate = TRUE)

Value

Dtensor

(list) of unevaluated expression(s) if evaluate=FALSE or a tensor if evaluate=TRUE

Arguments

expr

'expression'

name

character vector, giving the variable names with respect to which derivatives will be computed. If NULL all variables in the expression will be used

mu

optional: numeric vector, at which the derivatives are evaluated

m

order of derivative

evaluate

logical; if TRUE the derivatives are evaluated at mu, if FALSE the derivatives are left unevaluated

Author

Jarrod Hadfield j.hadfield@ed.ac.uk

References

Rice, S.H. (2004) Evolutionary Theory: Mathematical and Conceptual Foundations. Sinauer (MA) USA.

See Also

evalDtensor, Dexpressions, D

Examples

Run this code
f<-expression(beta_1 + time * beta_2 + u)
Dtensor(f,eval=FALSE)

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