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| exclude.too.far | Exclude prediction grid points too far from data |
| full.score | GCV/UBRE score for use withn nlm |
| gam | Generalized Additive Models using penalized regression splines and GCV |
| gam.check | Some diagnostics for a fitted gam model. |
| gam.control | Setting GAM fitting defaults |
| gam.fit | Generalized Additive Models fitting using penalized regression splines and GCV |
| gam.models | Specifying generalized Additive Models. |
| gam.neg.bin | GAMs with the negative binomial distribution |
| gam.parser | Generalized Additive Model fitting using penalized regression splines and GCV |
| gam.selection | Generalized Additive Model Selection |
| gam.setup | Generalized Additive Model set up. |
| gam.side.conditions | Identifiability side conditions for a GAM. |
| GAMsetup | Set up GAM using penalized regression splines |
| magic | Stable Multiple Smoothing Parameter Estimation by GCV or UBRE, with optional fixed penalty |
| magic.post.proc | Auxilliary information from magic fit |
| mgcv | Multiple Smoothing Parameter Estimation by GCV or UBRE |
| mgcv.find.theta | GAMs with the negative binomial distribution |
| mgcv.get.scale | GAMs with the negative binomial distribution |
| mono.con | Monotonicity constraints for a cubic regression spline. |
| mroot | Smallest square root of matrix |
| null.space.basis.labels | The basis of the space of un-penalized functions for a t.p.r.s. |
| null.space.basis.powers | The basis of the space of un-penalized functions for a t.p.r.s. |
| null.space.dimension | The basis of the space of un-penalized functions for a t.p.r.s. |
| pcls | Penalized Constrained Least Squares Fitting |
| persp.gam | Visualization 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 |
| summary.gam | Summary for a GAM fit |
| uniquecombs | find the unique rows in a matrix |
| vis.gam | Visualization of GAM objects |