rs2 {gnlm} | R Documentation |
rs2
fits a two-covariate power-transformed response surface by
iterating the function, glm
.
rs2(y, x1, x2, power=c(1,1), weight=rep(1,length(y)), family=normal, iterlim=20)
y |
Response variable |
x1 |
First covariate |
x2 |
Second covariate |
power |
Initial estimates of the two power transformations |
weight |
Weight vector |
family |
glm family |
iterlim |
Iteration limit |
A list of class, rs
, is returned containing the model and the power
estimates.
J.K. Lindsey
x1 <- rep(1:4,5) x2 <- rep(1:5,rep(4,5)) y <- rpois(20,1+2*sqrt(x1)+3*log(x2)+4*x1+log(x2)^2+2*sqrt(x1)*log(x2)) rs2(y, x1, x2, family=poisson)