Please see help("mgcv-FAQ") number 2
best,
simon
On 06/19/2012 05:27 PM, Stefano Sofia wrote:
Given
model1<- gam(Y ~ X1, family=poisson)
(which is a glm), the regression equation is
Log(Y) = 2.132 + 0.00044 X1
In fact from summary(model1), I read
summary(model1)
Family: poisson
Link funct
Given
model1 <- gam(Y ~ X1, family=poisson)
(which is a glm), the regression equation is
Log(Y) = 2.132 + 0.00044 X1
In fact from summary(model1), I read
> summary(model1)
Family: poisson
Link function: log
...
Parametric coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept)
2 matches
Mail list logo