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A B C D E F G I L M N P Q R S T U V
| mgcv-package | Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL |
| adaptive.smooth | Adaptive smooths in GAMs |
| anova.gam | Approximate hypothesis tests related to GAM fits |
| bam | Generalized additive models for very large datasets |
| bam.update | Update a strictly additive bam model for new data. |
| 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 |
| columb | Reduced version of Columbus OH crime data |
| columb.polys | Reduced version of Columbus OH crime data |
| concurvity | GAM concurvity measures |
| 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 |
| Duchon.spline | Low rank Duchon 1977 splines |
| 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 |
| factor.smooth.interaction | Factor smooth interactions in GAMs |
| fix.family.link | Modify families for use in GAM fitting and checking |
| fix.family.ls | Modify families for use in GAM fitting and checking |
| fix.family.qf | Modify families for use in GAM fitting and checking |
| fix.family.rd | Modify families for use in GAM fitting and checking |
| fix.family.var | Modify families for use in GAM fitting and checking |
| 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 |
| gam.vcomp | Report gam smoothness estimates as variance components |
| 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 |
| in.out | Which of a set of points lie within a polygon defined region |
| 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 |
| ls.size | Size of list elements |
| magic | Stable Multiple Smoothing Parameter Estimation by GCV or UBRE |
| magic.post.proc | Auxilliary information from magic fit |
| mgcv | Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL |
| mgcv-FAQ | Frequently Asked Questions for package mgcv |
| model.matrix.gam | Extract model matrix from GAM fit |
| mono.con | Monotonicity constraints for a cubic regression spline |
| mrf | Markov Random Field Smooths |
| 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 |
| pen.edf | Extract the effective degrees of freedom associated with each penalty in a gam fit |
| persp.gam | Visualization of GAM objects |
| place.knots | Automatically place a set of knots evenly through covariate values |
| plot.gam | Default GAM plotting |
| polys.plot | Plot geographic regions defined as polygons |
| predict.bam | Prediction from fitted Big Additive Model model |
| 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.duchon.spline | Low rank Duchon 1977 splines |
| Predict.matrix.fs.interaction | Factor smooth interactions in GAMs |
| Predict.matrix.mrf.smooth | Markov Random Field Smooths |
| Predict.matrix.pspline.smooth | Predict matrix method functions |
| Predict.matrix.random.effect | Simple random effects in GAMs |
| Predict.matrix.sos.smooth | Splines on the sphere |
| 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 | Approximate hypothesis tests related to GAM fits |
| print.gam | Print a Generalized Additive Model object. |
| print.summary.gam | Summary for a GAM fit |
| qq.gam | QQ plots for gam model residuals |
| random.effects | Random effects in GAMs |
| residuals.gam | Generalized Additive Model residuals |
| rig | Generate inverse Gaussian random deviates |
| rTweedie | Generate Tweedie random deviates |
| s | Defining smooths in GAM formulae |
| signal.regression | Linear functionals of a smooth in GAMs |
| slanczos | Compute truncated eigen decomposition of a symmetric matrix |
| 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.ds.smooth.spec | Low rank Duchon 1977 splines |
| smooth.construct.fs.smooth.spec | Factor smooth interactions in GAMs |
| smooth.construct.mrf.smooth.spec | Markov Random Field Smooths |
| smooth.construct.ps.smooth.spec | P-splines in GAMs |
| smooth.construct.re.smooth.spec | Simple random effects in GAMs |
| smooth.construct.sos.smooth.spec | Splines on the sphere |
| 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 |
| spasm.construct | Experimental sparse smoothers |
| spasm.smooth | Experimental sparse smoothers |
| spasm.sp | Experimental sparse smoothers |
| Spherical.Spline | Splines on the sphere |
| 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 |
| t2 | Define alternative tensor product smooths in GAM formulae |
| 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 |