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A C D E F G I L M N P R S T U V
| mgcv-package | GAMs with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL |
| adaptive.smooth | Adaptive smooths in GAMs |
| anova.gam | Hypothesis tests related to GAM fits |
| choose.k | Basis dimension choice for smooths |
| coef.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix |
| coef.pdTens | Functions implementing a pdMat class for tensor product smooths |
| corMatrix.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix |
| cSplineDes | Evaluate cyclic B spline basis |
| cubic.regression.spline | Penalized Cubic regression splines in GAMs |
| cyclic.cubic.spline | Penalized Cubic regression splines in GAMs |
| cyclic.p.spline | P-splines in GAMs |
| Dim.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix |
| exclude.too.far | Exclude prediction grid points too far from data |
| extract.lme.cov | Extract the data covariance matrix from an lme object |
| extract.lme.cov2 | Extract the data covariance matrix from an lme object |
| fix.family.link | Modify families for use in GAM fitting |
| fix.family.ls | Modify families for use in GAM fitting |
| fix.family.var | Modify families for use in GAM fitting |
| fixDependence | Detect linear dependencies of one matrix on another |
| formula.gam | GAM formula |
| formXtViX | Form component of GAMM covariance matrix |
| full.score | GCV/UBRE score for use within nlm |
| function.predictors | Linear functionals of a smooth in GAMs |
| gam | Generalized additive models with integrated smoothness estimation |
| gam.check | Some diagnostics for a fitted gam model |
| gam.control | Setting GAM fitting defaults |
| gam.convergence | GAM convergence and performance issues |
| gam.fit | GAM P-IRLS estimation with GCV/UBRE smoothness estimation |
| gam.fit3 | P-IRLS GAM estimation with GCV & UBRE/AIC or RE/ML derivative calculation |
| gam.models | Specifying generalized additive models |
| gam.outer | Minimize GCV or UBRE score of a GAM using ‘outer’ iteration |
| gam.performance | GAM convergence and performance issues |
| gam.selection | Generalized Additive Model Selection |
| gam.side | Identifiability side conditions for a GAM |
| gam2derivative | Objective functions for GAM smoothing parameter estimation |
| gam2objective | Objective functions for GAM smoothing parameter estimation |
| gamm | Generalized Additive Mixed Models |
| gamObject | Fitted gam object |
| gamSim | Simulate example data for GAMs |
| get.var | Get named variable or evaluate expression from list or data.frame |
| influence.gam | Extract the diagonal of the influence/hat matrix for a GAM |
| initial.sp | Starting values for multiple smoothing parameter estimation |
| interpret.gam | Interpret a GAM formula |
| ldTweedie | Log Tweedie density evaluation |
| linear.functional.terms | Linear functionals of a smooth in GAMs |
| logDet.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix |
| logLik.gam | Extract the log likelihood for a fitted GAM |
| 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.control | Setting mgcv defaults |
| model.matrix.gam | Extract model matrix from GAM fit |
| mono.con | Monotonicity constraints for a cubic regression spline |
| mroot | Smallest square root of matrix |
| negbin | GAM negative binomial family |
| new.name | Obtain a name for a new variable that is not already in use |
| notExp | Functions for better-than-log positive parameterization |
| notExp2 | Alternative to log parameterization for variance components |
| notLog | Functions for better-than-log positive parameterization |
| notLog2 | Alternative to log parameterization for variance components |
| null.space.dimension | The basis of the space of un-penalized functions for a TPRS |
| p.spline | P-splines in GAMs |
| pcls | Penalized Constrained Least Squares Fitting |
| pdConstruct.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix |
| pdConstruct.pdTens | Functions implementing a pdMat class for tensor product smooths |
| pdFactor.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix |
| pdFactor.pdTens | Functions implementing a pdMat class for tensor product smooths |
| pdIdnot | Overflow proof pdMat class for multiples of the identity matrix |
| pdMatrix.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix |
| pdMatrix.pdTens | Functions implementing a pdMat class for tensor product smooths |
| pdTens | Functions implementing a pdMat class for tensor product smooths |
| persp.gam | Visualization of GAM objects |
| place.knots | Automatically place a set of knots evenly through covariate values |
| plot.gam | Default GAM plotting |
| predict.gam | Prediction from fitted GAM model |
| Predict.matrix | Prediction methods for smooth terms in a GAM |
| Predict.matrix.cr.smooth | Predict matrix method functions |
| Predict.matrix.cs.smooth | Predict matrix method functions |
| Predict.matrix.cyclic.smooth | Predict matrix method functions |
| Predict.matrix.pspline.smooth | Predict matrix method functions |
| Predict.matrix.tensor.smooth | Predict matrix method functions |
| Predict.matrix.tprs.smooth | Predict matrix method functions |
| Predict.matrix.ts.smooth | Predict matrix method functions |
| Predict.matrix2 | Prediction methods for smooth terms in a GAM |
| PredictMat | Prediction/Construction wrapper functions for GAM smooth terms |
| print.anova.gam | Hypothesis tests related to GAM fits |
| print.gam | Print a Generalized Additive Model object. |
| print.summary.gam | Summary for a GAM fit |
| residuals.gam | Generalized Additive Model residuals |
| s | Defining smooths in GAM formulae |
| signal.regression | Linear functionals of a smooth in GAMs |
| smooth.construct | Constructor functions for smooth terms in a GAM |
| smooth.construct.ad.smooth.spec | Adaptive smooths in GAMs |
| smooth.construct.cc.smooth.spec | Penalized Cubic regression splines in GAMs |
| smooth.construct.cp.smooth.spec | P-splines in GAMs |
| smooth.construct.cr.smooth.spec | Penalized Cubic regression splines in GAMs |
| smooth.construct.cs.smooth.spec | Penalized Cubic regression splines in GAMs |
| smooth.construct.ps.smooth.spec | P-splines in GAMs |
| smooth.construct.tensor.smooth.spec | Tensor product smoothing constructor |
| smooth.construct.tp.smooth.spec | Penalized thin plate regression splines in GAMs |
| smooth.construct.ts.smooth.spec | Penalized thin plate regression splines in GAMs |
| smooth.construct2 | Constructor functions for smooth terms in a GAM |
| smooth.terms | Smooth terms in GAM |
| smoothCon | Prediction/Construction wrapper functions for GAM smooth terms |
| solve.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix |
| sp.vcov | Extract smoothing parameter estimator covariance matrix from (RE)ML GAM fit |
| step.gam | Alternatives to step.gam |
| summary.gam | Summary for a GAM fit |
| summary.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix |
| summary.pdTens | Functions implementing a pdMat class for tensor product smooths |
| te | Define tensor product smooths in GAM formulae |
| tensor.prod.model.matrix | Utility functions for constructing tensor product smooths |
| tensor.prod.penalties | Utility functions for constructing tensor product smooths |
| tprs | Penalized thin plate regression splines in GAMs |
| Tweedie | GAM Tweedie family |
| uniquecombs | find the unique rows in a matrix |
| user.defined.smooth | Constructor functions for smooth terms in a GAM |
| vcov.gam | Extract parameter (estimator) covariance matrix from GAM fit |
| vis.gam | Visualization of GAM objects |