gam |
Generalized Additive Models using penalized regression splines and GCV |
gam.control |
Setting Generalized Additive Models fitting defaults |
gam.fit |
Generalized Additive Models fitting using penalized regression splines and GCV |
gam.nbut |
Generalized Additive Models using Negative Binomial errors with unknown theta |
gam.parser |
Generalized Additive Model fitting using penalized regression splines and GCV |
gam.setup |
Generalized Additive Model set up. |
GAMsetup |
Set up GAM using penalized cubic regression splines |
get.family |
Identifies families |
mgcv |
Multiple Smoothing Parameter Estimation by GCV or UBRE |
mono.con |
Monotonicity constraints for a cubic regression spline. |
neg.binom |
Family function for Negative Binomial GAMs |
null.space.dimension |
Dimension of the space of un-penalized functions. |
pcls |
Penalized Constrained Least Squares Fitting |
persp.gam |
Perspective Plot of GAM objects |
plot.gam |
Default GAM plotting |
predict.gam |
Prediction from fitted GAM model |
print.gam |
Generalized Additive Model default print statement |
print.summary.gam |
Summary for a GAM fit |
QT |
QT factorisation of a matrix |
residuals.gam |
Generalized Additive Model residuals |
s |
Defining smooths in GAM formulae |
SANtest |
Example of simple additive GAM using penalized regression splines. |
summary.gam |
Summary for a GAM fit |
theta.maxl |
Estimate theta of the Negative Binomial by Maximum Likelihood |
uniquecombs |
find the unique rows in a matrix |