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quantreg::akj Density Estimation using Adaptive Kernel method
quantreg::lprq locally polynomial quantile regression
quantreg::plot.rqss Plot Method for rqss Objects
quantreg::predict.rqss Predict from fitted nonparametric quantile regression smoothing spline models
quantreg::qss Additive Nonparametric Terms for rqss Fitting
quantreg::rqss Additive Quantile Regression Smoothing
quantreg::rqss.object RQSS Objects and Summarization Thereof
quantreg::summary.rqss Summary of rqss fit
boot::exp.tilt Exponential Tilting
boot::lines.saddle.distn Add a Saddlepoint Approximation to a Plot
boot::print.saddle.distn Print Quantiles of Saddlepoint Approximations
boot::saddle Saddlepoint Approximations for Bootstrap Statistics
boot::saddle.distn Saddlepoint Distribution Approximations for Bootstrap Statistics
boot::saddle.distn.object Saddlepoint Distribution Approximation Objects
boot::smooth.f Smooth Distributions on Data Points
graphics::sunflowerplot Produce a Sunflower Scatter Plot
KernSmooth::bkde Compute a Binned Kernel Density Estimate
KernSmooth::bkde2D Compute a 2D Binned Kernel Density Estimate
KernSmooth::bkfe Compute a Binned Kernel Functional Estimate
KernSmooth::dpih Select a Histogram Bin Width
KernSmooth::dpik Select a Bandwidth for Kernel Density Estimation
KernSmooth::dpill Select a Bandwidth for Local Linear Regression
KernSmooth::locpoly Estimate Functions Using Local Polynomials
mgcv::FFdes Level 5 fractional factorial designs
mgcv::Predict.matrix Prediction methods for smooth terms in a GAM
mgcv::Predict.matrix.soap.film Prediction matrix for soap film smooth
mgcv::Rrank Find rank of upper triangular matrix
mgcv::XWXd Internal functions for discretized model matrix handling
mgcv::anova.gam Approximate hypothesis tests related to GAM fits
mgcv::bam Generalized additive models for very large datasets
mgcv::bam.update Update a strictly additive bam model for new data.
mgcv::bandchol Choleski decomposition of a band diagonal matrix
mgcv::blas.thread.test BLAS thread safety
mgcv::cSplineDes Evaluate cyclic B spline basis
mgcv::choldrop Deletion and rank one Cholesky factor update
mgcv::dpnorm Stable evaluation of difference between normal c.d.f.s
mgcv::extract.lme.cov Extract the data covariance matrix from an lme object
mgcv::formXtViX Form component of GAMM covariance matrix
mgcv::formula.gam GAM formula
mgcv::fs.test FELSPLINE test function
mgcv::full.score GCV/UBRE score for use within nlm
mgcv::gam Generalized additive models with integrated smoothness estimation
mgcv::gam.check Some diagnostics for a fitted gam model
mgcv::gam.control Setting GAM fitting defaults
mgcv::gam.convergence GAM convergence and performance issues
mgcv::gam.fit GAM P-IRLS estimation with GCV/UBRE smoothness estimation
mgcv::gam.fit3 P-IRLS GAM estimation with GCV, UBRE/AIC or RE/ML derivative calculation
mgcv::gam.mh Simple posterior simulation with gam fits
mgcv::gam.outer Minimize GCV or UBRE score of a GAM using 'outer' iteration
mgcv::gam.scale Scale parameter estimation in GAMs
mgcv::gam.vcomp Report gam smoothness estimates as variance components
mgcv::gam2objective Objective functions for GAM smoothing parameter estimation
mgcv::gamObject Fitted gam object
mgcv::gamSim Simulate example data for GAMs
mgcv::gamm Generalized Additive Mixed Models
mgcv::get.var Get named variable or evaluate expression from list or data.frame
mgcv::ginla GAM Integrated Nested Laplace Approximation Newton Enhanced
mgcv::inSide Are points inside boundary?
mgcv::influence.gam Extract the diagonal of the influence/hat matrix for a GAM
mgcv::initial.sp Starting values for multiple smoothing parameter estimation
mgcv::interpret.gam Interpret a GAM formula
mgcv::jagam Just Another Gibbs Additive Modeller: JAGS support for mgcv.
mgcv::k.check Checking smooth basis dimension
mgcv::logLik.gam AIC and Log likelihood for a fitted GAM
mgcv::magic Stable Multiple Smoothing Parameter Estimation by GCV or UBRE
mgcv::magic.post.proc Auxilliary information from magic fit
mgcv::mgcv.package Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL
mgcv::mgcv.parallel Parallel computation in mgcv.
mgcv::model.matrix.gam Extract model matrix from GAM fit
mgcv::mono.con Monotonicity constraints for a cubic regression spline
mgcv::mroot Smallest square root of matrix
mgcv::new.name Obtain a name for a new variable that is not already in use
mgcv::notExp Functions for better-than-log positive parameterization
mgcv::notExp2 Alternative to log parameterization for variance components
mgcv::one.se.rule The one standard error rule for smoother models
mgcv::pcls Penalized Constrained Least Squares Fitting
mgcv::pdIdnot Overflow proof pdMat class for multiples of the identity matrix
mgcv::pdTens Functions implementing a pdMat class for tensor product smooths
mgcv::pen.edf Extract the effective degrees of freedom associated with each penalty in a gam fit
mgcv::place.knots Automatically place a set of knots evenly through covariate values
mgcv::plot.gam Default GAM plotting
mgcv::polys.plot Plot geographic regions defined as polygons
mgcv::predict.bam Prediction from fitted Big Additive Model model
mgcv::predict.gam Prediction from fitted GAM model
mgcv::print.gam Print a Generalized Additive Model object.
mgcv::psum.chisq Evaluate the c.d.f. of a weighted sum of chi-squared deviates
mgcv::qq.gam QQ plots for gam model residuals
mgcv::residuals.gam Generalized Additive Model residuals
mgcv::s Defining smooths in GAM formulae
mgcv::sdiag Extract or modify diagonals of a matrix
mgcv::slanczos Compute truncated eigen decomposition of a symmetric matrix
mgcv::smooth.construct Constructor functions for smooth terms in a GAM
mgcv::smooth.construct.so.smooth.spec Soap film smoother constructer
mgcv::smooth.info Generic function to provide extra information about smooth specification
mgcv::smooth2random Convert a smooth to a form suitable for estimating as random effect
mgcv::smoothCon Prediction/Construction wrapper functions for GAM smooth terms
mgcv::sp.vcov Extract smoothing parameter estimator covariance matrix from (RE)ML GAM fit
mgcv::spasm.construct Experimental sparse smoothers
mgcv::summary.gam Summary for a GAM fit
mgcv::t2 Define alternative tensor product smooths in GAM formulae
mgcv::te Define tensor product smooths or tensor product interactions in GAM formulae
mgcv::tensor.prod.model.matrix Row Kronecker product/ tensor product smooth construction
mgcv::trichol Choleski decomposition of a tri-diagonal matrix
mgcv::vcov.gam Extract parameter (estimator) covariance matrix from GAM fit
mgcv::vis.gam Visualization of GAM objects
splines::bs B-Spline Basis for Polynomial Splines
splines::ns Generate a Basis Matrix for Natural Cubic Splines
splines::predict.bs Evaluate a Spline Basis
stats::bw.nrd0 Bandwidth Selectors for Kernel Density Estimation
stats::density Kernel Density Estimation
stats::isoreg Isotonic / Monotone Regression
stats::ksmooth Kernel Regression Smoother
stats::loess.control Set Parameters for Loess
stats::loess Local Polynomial Regression Fitting
stats::lowess Scatter Plot Smoothing
stats::predict.loess Predict Loess Curve or Surface
stats::predict.smooth.spline Predict from Smoothing Spline Fit
stats::runmed Running Medians - Robust Scatter Plot Smoothing
stats::scatter.smooth Scatter Plot with Smooth Curve Fitted by Loess
stats::smooth Tukey's (Running Median) Smoothing
stats::smooth.spline Fit a Smoothing Spline
stats::smoothEnds End Points Smoothing (for Running Medians)
stats::supsmu Friedman's SuperSmoother
survival::nsk Natural splines with knot heights as the basis.