• gss

  • Referenced in 255 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing ... multivariate settings number far less. Smoothing spline ANOVA models are a versatile family of smoothing...
  • FITPACK

  • Referenced in 124 articles [sw09171]
  • package of Fortran subroutines for calculating smoothing splines for various kinds of data and geometries...
  • COBS

  • Referenced in 25 articles [sw08988]
  • qualitatively constrained smoothing via linear programming. Popular smoothing techniques generally have a difficult time accommodating ... bring the problem of constrained spline smoothing to the foreground and describe the details ... constrained B-spline smoothing (COBS) algorithm that is being made available to S-plus-users ... projection of a smooth function into the space of B-splines provides a monotone smoother...
  • LASSO

  • Referenced in 30 articles [sw02850]
  • models such as wavelets, kernel machines, smoothing splines, multiclass logistic models...
  • GCVPACK

  • Referenced in 13 articles [sw31699]
  • smoothing including ridge regression, thin plate smoothing splines, deconvolution, smoothing of generalized linear models...
  • assist

  • Referenced in 11 articles [sw14876]
  • Suite of R Functions Implementing Spline Smoothing Techniques. A comprehensive package for fitting various ... parametric/semi-parametric linear/nonlinear fixed/mixed smoothing spline models...
  • SemiPar

  • Referenced in 642 articles [sw07116]
  • semiparametric regression is based on penalized regression splines and mixed models. Every model in this ... interest even to experts on smoothing, and they are a third possible audience. This book...
  • CUBGCV

  • Referenced in 8 articles [sw04346]
  • calculating minimum cross-validation cubic smoothing splines The procedure CUBGCV is an implementation ... calculation of a cubic smoothing spline fitted to n noisy data points, with the degree ... matrices associated with the cubic smoothing spline problem. Bayesian point error estimates are also calculated...
  • pspline

  • Referenced in 7 articles [sw14328]
  • package pspline: Penalized Smoothing Splines. Smoothing splines with penalties on order m derivatives...
  • ConfBands

  • Referenced in 25 articles [sw12330]
  • simultaneous confidence bands for a smooth curve using penalized spline estimators. We consider three types...
  • SsfPack

  • Referenced in 64 articles [sw09502]
  • spline models in state space form. Basic functions are available for filtering, moment smoothing...
  • GRKPACK

  • Referenced in 5 articles [sw31701]
  • GRKPACK: Fitting smoothing spline ANOVA models for exponential families. Wahba, Wang, Gu, Klein and Klein ... introduced Smoothing Spline Analysis of VAriance (SS ANOVA) method for data from exponential families. Based...
  • cobs

  • Referenced in 6 articles [sw21863]
  • Sparse Matrix Based). Qualitatively Constrained (Regression) Smoothing Splines via Linear Programming and Sparse Matrices...
  • fields

  • Referenced in 45 articles [sw08187]
  • splines and Kriging methods are supporting by functions that can determine the smoothing parameter (nugget...
  • Pcp2Nurb

  • Referenced in 18 articles [sw00689]
  • Pcp2Nurb -- smooth free-form surfacing with linearly trimmed bicubic B-splines Unrestricted control polyhedra facilitate ... cutting off edges and corners, the smoothing of an unrestricted control polyhedron can be reduced ... smoothing of a planar-cut polyhedron. A planar-cut polyhedron is a generalization ... four-sided linearly trimmed bicubic B-splines and untrimmed biquadratic B-splines. The routine...
  • MortalitySmooth

  • Referenced in 11 articles [sw10483]
  • Package for Smoothing Poisson Counts with P-Splines. The MortalitySmooth package provides a framework ... interested in using a practical tool for smoothing mortality data over ages and/or years ... assumed to be Poisson-distributed, and P-splines and generalized linear array models are employed...
  • lmeSplines

  • Referenced in 1 article [sw08184]
  • lmeSplines: Add smoothing spline modelling capability to nlme. Add smoothing spline modelling capability to nlme ... smoothing spline terms in Gaussian linear and nonlinear mixed-effects models...
  • SmoothHR

  • Referenced in 2 articles [sw11464]
  • model, several smoothing methods may be applied, and approaches based on splines are the most ... Despite the potential advantages of using spline smoothing methods in survival analysis, there is currently...
  • bigsplines

  • Referenced in 2 articles [sw16387]
  • package bigsplines. Fits smoothing spline regression models using scalable algorithms designed for large samples...
  • Mspline

  • Referenced in 1 article [sw26181]
  • functions to fit M-type smoothing splines with the smoothing parameter chosen by a robust ... selection of the smoothing parameter for smoothing splines. Statistics and Computing...