• CIP

  • Referenced in 2 articles [sw12675]
  • linear) curve fitting and data smoothing (with cubic splines), clustering (k-medoids...
  • boostmtree

  • Referenced in 2 articles [sw20721]
  • using penalized B-splines (P-splines) with estimated adaptive smoothing parameter...
  • L2CXCV

  • Referenced in 2 articles [sw26952]
  • second divided differences of the smoothed values, where the location of the sign change ... takes advantage of a B-spline representation of the smoothed values that allows some efficient...
  • SmoothHazard

  • Referenced in 4 articles [sw14710]
  • with M-splines approximation of baseline intensities in order to obtain smooth estimates. Estimation...
  • bshazard

  • Referenced in 2 articles [sw32397]
  • adjusted for covariates). The smoothed estimate is based on B-splines from the perspective...
  • cpr

  • Referenced in 1 article [sw20286]
  • reduction’ (CNR). B-Splines are commonly used in regression models to smooth data and approximate...
  • quantregGrowth

  • Referenced in 1 article [sw32615]
  • linear covariates and multiple smooth terms via B-splines with L1-norm difference penalties. Monotonicity...
  • pgam

  • Referenced in 1 article [sw25118]
  • additive models (GAM), cubic splines are used for covariate smoothing. The semiparametric models are fitted...
  • pendensity

  • Referenced in 1 article [sw11720]
  • densities using penalized B-splines with automatic selection of optimal smoothing parameter...
  • TINKER

  • Referenced in 11 articles [sw04095]
  • Verlet stochastic dynamics, pairwise neighbor lists and splined spherical energy cutoff methods, particle mesh Ewald ... Elber’s reaction path algorithm, our potential smoothing and search (PSS) methods for global optimization...
  • npbr

  • Referenced in 1 article [sw15636]
  • selected methods are concerned with empirical, smoothed, unrestricted as well as constrained fits under both ... piecewise polynomials, splines, local linear fitting, extreme values and kernel smoothing. The package also seamlessly...
  • BARS

  • Referenced in 5 articles [sw10487]
  • powerful reversible-jump MCMC engine to perform spline-based generalized nonparametric regression. It has been ... producing visually-appealing fits that are smooth (filtering out high-frequency noise) while adapting ... subroutines for fitting Poisson regression, manipulating B-splines (using code created by Bates and Venables...
  • AdaptFitOS

  • Referenced in 7 articles [sw06774]
  • confidence bands and perform specification tests for smooth curves in additive models. The method allows ... using the mixed model representation of penalized splines in combination with simultaneous probability calculations based...
  • DNSPLIN1

  • Referenced in 2 articles [sw01235]
  • constructing discrete approximations to nonparametric interpolating nonlinear spline curves. Our approach consists of minimizing ... effectiveness of the method in rapidly producing smooth interpolatory curves is demonstrated by test results...
  • IDA

  • Referenced in 1 article [sw00434]
  • complex interactive system for interpolation and smoothing of functions of one or two variables ... general meshes using various types of splines (including shape preserving ones). The role of dialogue...
  • ShapeChange

  • Referenced in 1 article [sw18167]
  • ShapeChange. Change-Point Estimation using Shape-Restricted Splines. In a scatterplot where the response variable ... case in which the mean function is smooth with a change-point, which ... point as well using shape-restricted B-splines. An optional subroutine delivering a bootstrap confidence...
  • BFDA

  • Referenced in 2 articles [sw14769]
  • that implements a Bayesian hierarchical model for smoothing functional data and estimating mean-covariance functions ... Bayesian inference process with cubic B-spline basis functions is integrated in this toolbox, which ... advantages of BFDA include: (1) Simultaneously smooths functional data and estimates the mean-covariance functions...
  • L2WPMA

  • Referenced in 9 articles [sw04326]
  • calculation a spline representation of the solution and the corresponding Lagrange multipliers are provided ... providing a preliminary or complementary smoothing phase to further analyses of the data...
  • NestedCompRisks

  • Referenced in 1 article [sw36437]
  • STAR) models combined with penalized splines (P-splines) are proposed to evaluate peritoneal dialysis programmes ... very flexible since they may consider smooth estimates of baseline transition intensities and the inclusion...
  • binsmooth

  • Referenced in 0 articles [sw16391]
  • smoothed density functions. Methods include step function, recursive subdivision, and optimized spline...