# evalDtensor

From MCMCglmm v2.29
by Jarrod Hadfield

##### Evaluates a list of (mixed) partial derivatives

Evaluates a list of (mixed) partial derivatives

##### Usage

`evalDtensor(x, mu, m=1)`

##### Arguments

- x
unevaluated (list) of expression(s)

- mu
values at which the derivatives are evaluated: names need to match terms in x

- m
order of derivative

##### Value

tensor

##### See Also

##### Examples

```
# NOT RUN {
f<-expression(beta_1 + time*beta_2+u)
Df<-Dtensor(f, eval=FALSE, m=2)
evalDtensor(Df, mu=data.frame(beta_1=0.5, beta_2=1, time=3, u=2.3))
Dtensor(f, mu=c(1,3,1,2.3), m=2)
# }
```

*Documentation reproduced from package MCMCglmm, version 2.29, License: GPL (>= 2)*

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