MCMCglmm: Dtensor – R documentation

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Dtensor

Tensor of (mixed) partial derivatives

Forms tensor of (mixed) partial derivatives

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

`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

Dtensor

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

Jarrod Hadfield j.hadfield@ed.ac.uk

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

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

MCMC Generalised Linear Mixed Models

v2.32

GPL (>= 2)

Authors

Jarrod Hadfield

Initial release

2021-03-12