rs2 | 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(x1)),
family = gaussian,
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
lm
, glm
, gnlr
,
gnlr3
, rs3
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)
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