
CIP
 Referenced in 2 articles
[sw12675]
 linear) curve fitting and data smoothing (with cubic splines), clustering (kmedoids...

boostmtree
 Referenced in 2 articles
[sw20721]
 using penalized Bsplines (Psplines) 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 Bspline representation of the smoothed values that allows some efficient...

SmoothHazard
 Referenced in 4 articles
[sw14710]
 with Msplines 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 Bsplines from the perspective...

cpr
 Referenced in 1 article
[sw20286]
 reduction’ (CNR). BSplines are commonly used in regression models to smooth data and approximate...

quantregGrowth
 Referenced in 1 article
[sw32615]
 linear covariates and multiple smooth terms via Bsplines with L1norm 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 Bsplines 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 reversiblejump MCMC engine to perform splinebased generalized nonparametric regression. It has been ... producing visuallyappealing fits that are smooth (filtering out highfrequency noise) while adapting ... subroutines for fitting Poisson regression, manipulating Bsplines (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. ChangePoint Estimation using ShapeRestricted Splines. In a scatterplot where the response variable ... case in which the mean function is smooth with a changepoint, which ... point as well using shaperestricted Bsplines. 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 meancovariance functions ... Bayesian inference process with cubic Bspline basis functions is integrated in this toolbox, which ... advantages of BFDA include: (1) Simultaneously smooths functional data and estimates the meancovariance 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 (Psplines) 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...