evalDtensor: Evaluates a list of (mixed) partial derivatives

In MCMCglmm: MCMC Generalised Linear Mixed Models

Evaluates a list of (mixed) partial derivatives

Description

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

Author(s)

Jarrod Hadfield [e-mail]

See Also

Dtensor, D

Examples

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)

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