R: Tensor of (mixed) partial derivatives

Dtensor {MCMCglmm} | R Documentation

## 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 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

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

[Package MCMCglmm version 2.32 Index]