Dtensor: Tensor of (mixed) partial derivatives

In MCMCglmm: MCMC Generalised Linear Mixed Models

Tensor of (mixed) partial derivatives

Description

Forms tensor of (mixed) partial derivatives

Usage

Dtensor(expr, name=NULL, mu = NULL, m=1, 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

Value

Dtensor

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

Author(s)

Jarrod Hadfield [e-mail]

References

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

See Also

evalDtensor, Dexpressions, D

Examples

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

MCMCglmm documentation built on July 9, 2023, 5:24 p.m.