A C D E F G I L M N P R S T U V
mgcv-package | GAMs with GCV smoothness estimation and GAMMs by REML/PQL |
anova.gam | Hypothesis tests related to GAM fits |
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 |
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.var | Modify families for use in GAM fitting |
fixDependence | Detect linear dependencies of one matrix on another |
formula.gam | Extract the formula from a gam object |
formXtViX | Form component of GAMM covariance matrix |
full.score | GCV/UBRE score for use within nlm |
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.fit2 | P-IRLS GAM estimation with GCV & UBRE derivative calculation |
gam.method | Setting GAM fitting method |
gam.models | Specifying generalized additive models |
gam.neg.bin | GAMs with the negative binomial distribution |
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.setup | Generalized additive model set up |
gam.side | Identifiability side conditions for a GAM |
gam2derivative | Objective functions for GAM smoothing parameter estimation |
gam2objective | Objective functions for GAM smoothing parameter estimation |
gam3objective | Objective functions for GAM smoothing parameter estimation |
gamm | Generalized Additive Mixed Models |
gamm.setup | Generalized additive mixed model set up |
gamObject | Fitted gam object |
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 |
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 |
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 |
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 | Constructor functions for smooth terms in a GAM |
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 | Prediction methods for smooth terms in a GAM |
Predict.matrix.cs.smooth | Prediction methods for smooth terms in a GAM |
Predict.matrix.cyclic.smooth | Prediction methods for smooth terms in a GAM |
Predict.matrix.tensor.smooth | Prediction methods for smooth terms in a GAM |
Predict.matrix.tprs.smooth | Prediction methods for smooth terms in a GAM |
Predict.matrix.ts.smooth | 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 | Generalized Additive Model default print statement |
print.summary.gam | Summary for a GAM fit |
residuals.gam | Generalized Additive Model residuals |
s | Defining smooths in GAM formulae |
smooth.construct | Constructor functions for smooth terms in a GAM |
smooth.construct.cc.smooth.spec | Constructor functions for smooth terms in a GAM |
smooth.construct.cr.smooth.spec | Constructor functions for smooth terms in a GAM |
smooth.construct.cs.smooth.spec | Constructor functions for smooth terms in a GAM |
smooth.construct.tensor.smooth.spec | Constructor functions for smooth terms in a GAM |
smooth.construct.tp.smooth.spec | Constructor functions for smooth terms in a GAM |
smooth.construct.ts.smooth.spec | Constructor functions for smooth terms in a GAM |
smoothCon | Prediction/Construction wrapper functions for GAM smooth terms |
solve.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix |
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 |
uniquecombs | find the unique rows in a matrix |
vcov.gam | Extract parameter (estimator) covariance matrix from GAM fit |
vis.gam | Visualization of GAM objects |