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rs2 fits a two-covariate power-transformed response surface by iterating the function, glm.
rs2
glm
rs2(y, x1, x2, power = c(1, 1), weight = rep(1, length(x1)), family = gaussian, iterlim = 20)
Response variable
First covariate
Second covariate
Initial estimates of the two power transformations
Weight vector
glm family
Iteration limit
A list of class, rs, is returned containing the model and the power estimates.
rs
lm, glm, gnlr, gnlr3, rs3
lm
gnlr
gnlr3
rs3
# NOT RUN { 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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