Description Usage Arguments Examples
print.hgam
is used to display some information about the fitted GAMs.
plot.hgam
plot the marginal effects of the two selected covariates.
fitted.hgam
is used to predict the original data with the fitted GAM model.
coef.hgam
is used to display the fitted coefficients.
predict.hgam
is used to predict (new) data with the fitted GAM model.
logLik.hgam
is used to display the value of the log likelihood function.
print.hrisk
is used to display the results of the hrisk function.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## S3 method for class 'hgam'
print(x, ...)
## S3 method for class 'hgam'
plot(x, which = NULL, newdata = NULL,
rug = TRUE, multidim = FALSE, ...)
## S3 method for class 'hgam'
fitted(object, ...)
## S3 method for class 'hgam'
coef(object, ...)
## S3 method for class 'hgam'
predict(object, newdata = NULL, which = NULL, intercept = NULL, ...)
## S3 method for class 'hgam'
logLik(object, ...)
## S3 method for class 'hrisk'
print(h, ...)
|
x |
an object of class hgam |
object |
an object of class hgam |
newdata |
a data frame. If |
which |
which covariate to be predicted. Character or integer can both be used. If
|
multidim |
when |
intercept |
boolean or |
h |
an object of the class hrisk. |
rug |
logical, add rugs to plots. |
... |
ignored. |
1 2 3 4 5 6 7 8 9 |
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