パッケージ 'mgcv' の情報 記述: Package: mgcv Version: 1.5-6 Author: Simon Wood <simon.wood@r-project.org> Maintainer: Simon Wood <simon.wood@r-project.org> Title: GAMs with GCV/AIC/REML smoothness estimation and GAMMs by PQL Description: Routines for GAMs and other generalized ridge regression with multiple smoothing parameter selection by GCV, REML or UBRE/AIC. Also GAMMs by REML or PQL. Includes a gam() function. Priority: recommended Depends: R (>= 2.3.0) Imports: graphics, stats, nlme Suggests: nlme (>= 3.1-64), splines LazyLoad: yes License: GPL (>= 2) Packaged: 2009-09-11 09:31:19 UTC; simon Repository: CRAN Date/Publication: 2009-09-12 12:18:28 Built: R 2.10.0; universal-apple-darwin9.8.0; 2009-10-13 06:25:24 UTC; unix 索引: mgcv Multiple Smoothing Parameter Estimation by GCV or UBRE anova.gam Hypothesis tests related to GAM fits exclude.too.far Exclude prediction grid points too far from data extract.lme.cov Extract the data covariance matrix from an lme object fixDependence Detect linear dependencies of one matrix on another fix.family.link Modify families for use in GAM fitting 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 gam2objective Objective functions for GAM smoothing parameter 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 gamm Generalized Additive Mixed Models gam.method Setting GAM fitting method gam.models Specifying generalized additive models gamm.setup Generalized additive mixed model set up gam.neg.bin GAMs with the negative binomial distribution gamObject Fitted gam object gam.outer Minimize GCV or UBRE score of a GAM using 'outer' iteration gam.selection Generalized Additive Model Selection gam.setup Generalized additive model set up gam.side Identifiability side conditions for a GAM 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 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.control Setting mgcv defaults mgcv-package GAMs with GCV smoothness estimation and GAMMs by REML/PQL 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 null.space.dimension The basis of the space of un-penalized functions for a TPRS pcls Penalized Constrained Least Squares Fitting pdIdnot Overflow proof pdMat class for multiples of the identity matrix pdTens Functions implementing a pdMat class for tensor product smooths 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 print.gam Generalized Additive Model default print statement residuals.gam Generalized Additive Model residuals s Defining smooths in GAM formulae smoothCon Prediction/Construction wrapper functions for GAM smooth terms smooth.construct Constructor functions for smooth terms in a GAM step.gam Alternatives to step.gam summary.gam Summary for a GAM fit te Define tensor product smooths in GAM formulae tensor.prod.model.matrix 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