
SemiPar
 Referenced in 588 articles
[sw07116]
 semiparametric regression is based on penalized regression splines and mixed models. Every model in this...

ConfBands
 Referenced in 22 articles
[sw12330]
 Simultaneous confidence bands for penalized spline estimators. In this article, we construct simultaneous confidence bands ... smooth curve using penalized spline estimators. We consider three types of estimation methods ... using the mixedmodel framework with the spline coefficients as random effects ... that the mixedmodel formulation of penalized splines can help obtain, at least approximately, confidence...

gss
 Referenced in 224 articles
[sw06099]
 multivariate settings number far less. Smoothing spline ANOVA models are a versatile family of smoothing ... covariates. The unifying themes are the general penalized likelihood method and the construction of multivariate...

AdaptFitOS
 Referenced in 5 articles
[sw06774]
 using the mixed model representation of penalized splines in combination with simultaneous probability calculations based...

heavy
 Referenced in 4 articles
[sw13216]
 models, multivariate location and scatter estimation, penalized splines and random variate generation...

penDvine
 Referenced in 2 articles
[sw16858]
 estimation in Dvines using bivariate penalized splines. Flexible PairCopula Estimation in Dvines ... using Bivariate Penalized Splines...

pspline
 Referenced in 5 articles
[sw14328]
 package pspline: Penalized Smoothing Splines. Smoothing splines with penalties on order m derivatives...

pamfe
 Referenced in 1 article
[sw29774]
 penalized spline estimator for fixed effects panel data models. Estimating nonlinear effects of continuous covariates ... penalized splines is well established for regressions with crosssectional data as well ... panel data regressions with random effects. Penalized splines are particularly advantageous since they enable both ... difference approach for the inclusion of penalized splines in this case. We take the resulting...

AdaptFit
 Referenced in 2 articles
[sw10486]
 semiparametric regression models with spatially adaptive penalized splines...

GAMBoost
 Referenced in 5 articles
[sw08168]
 models by likelihood based boosting, using penalized Bsplines...

survPen
 Referenced in 1 article
[sw30001]
 package survPen: Multidimensional Penalized Splines for Survival and Net Survival Models. Fits hazard and excess ... hazard models with multidimensional penalized splines allowing for timedependent effects, nonlinear effects...

uniReg
 Referenced in 1 article
[sw25501]
 package uniReg: Unimodal Penalized Spline Regression using BSplines. Univariate spline regression. It is possible...

penRvine
 Referenced in 1 article
[sw26427]
 Flexible Rvines Estimation Using Bivariate Penalized Splines...

SPLINTER
 Referenced in 1 article
[sw15719]
 high flexibility and smoothness. The Bspline can be fitted to data using ordinary least ... library also offers construction of penalized splines (Psplines...

pencopula
 Referenced in 1 article
[sw21033]
 Flexible Copula Density Estimation with Penalized Hierarchical BSplines. Flexible copula density estimation with penalized...

pendensity
 Referenced in 1 article
[sw11720]
 Estimation of univariate (conditional) densities using penalized Bsplines with automatic selection of optimal smoothing...

boostmtree
 Referenced in 1 article
[sw20721]
 covariate interaction effect is modeled using penalized Bsplines (Psplines) with estimated adaptive smoothing...

PHMPL
 Referenced in 3 articles
[sw29636]
 which maximizes a penalized likelihood, and the solution is approximated using splines. The smoothing parameter...

CMARS
 Referenced in 18 articles
[sw08523]
 modelling relationships between variables. Multivariate adaptive regression splines (MARS) especially is very useful for high ... this article, we use a penalized residual sum of squares for MARS as a Tikhonov...

SEL
 Referenced in 2 articles
[sw19664]
 purpose Bsplines are used, and the density is obtained by penalized least squares based...