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

BACOLI
 Referenced in 5 articles
[sw13810]
 Both BACOL and BACOLI implement a Bspline collocation approach for the spatial discretization...

IRIT
 Referenced in 5 articles
[sw21528]
 very strong support for Bezier and Bspline curves and (trimmed) surfaces, IRIT has many...

BACOLR
 Referenced in 5 articles
[sw04397]
 from the spatial discretization (based on Bspline collocation) are handled by a substantially modified...

GRINS
 Referenced in 5 articles
[sw21301]
 finite element methods, discontinuous Galerkin methods, Bsplines, and unfitted finite element techniques...

N4itk
 Referenced in 3 articles
[sw18638]
 certain parameters associated with the Bspline leastsquares fitting. We propose the substitution ... recently developed fast and robust Bspline approximation routine and a modified hierarchical optimization scheme...

BARS
 Referenced in 4 articles
[sw10487]
 powerful reversiblejump MCMC engine to perform splinebased generalized nonparametric regression. It has been ... subroutines for fitting Poisson regression, manipulating Bsplines (using code created by Bates and Venables...

MIRT
 Referenced in 4 articles
[sw31002]
 Iterative image restoration tools. Methods for Bspline based image registration with regularization to encourage...

MBA
 Referenced in 2 articles
[sw14694]
 package MBA: Multilevel Bspline Approximation. Scattered data interpolation with Multilevel BSplines...

HFFEM
 Referenced in 2 articles
[sw10427]
 approximation based on finiteelement and Bspline techniques. It turns out that typically ... iteration steps using Bsplines of 6th order, with parallelization speed...

CXFTV2
 Referenced in 3 articles
[sw00180]
 distinctive feature of this calculation. A Bspline representation of the iterates reduces each active...

cpr
 Referenced in 1 article
[sw20286]
 Package For Finding Parsimonious BSpline Regression Models via Control Polygon Reduction and Control ... provides tools for selection of parsimonious Bspline regression models via algorithms coined `control polygon ... control net reduction’ (CNR). BSplines are commonly used in regression models to smooth data ... approximate unknown functional forms. BSplines are defined by a polynomial order and a knot...

bspline
 Referenced in 1 article
[sw28687]
 package bspline: Draw, Manipulate and Reconstruct BSplines. The package comprises of a graphical utility ... place uniform Bspline control points and see how the Bspline is redrawn ... adjusted, and functions to estimate Bsplines with known knot vector, given...

DBSR_HF
 Referenced in 1 article
[sw17658]
 DBSR_HF: a Bspline DiracHartreeFock program. A Bspline version ... B)P a =0, where H a and B are the Hamiltonian and overlap matrices ... component relativistic orbit in the Bspline basis. A default universal grid allows for flexible...

boostmtree
 Referenced in 2 articles
[sw20721]
 interaction effect is modeled using penalized Bsplines (Psplines) with estimated adaptive smoothing parameter...

svcm
 Referenced in 2 articles
[sw24570]
 grid data using either a full Bspline tensor product approach or a sequential approximation...

bshazard
 Referenced in 2 articles
[sw32397]
 smoothed estimate is based on Bsplines from the perspective of generalized linear mixed models...

Axl
 Referenced in 2 articles
[sw25792]
 curves, surfaces or volumes such as bspline parameterisations, as well as algebraic curves...

SEL
 Referenced in 2 articles
[sw19664]
 details. For this purpose Bsplines are used, and the density is obtained by penalized...

QIBSH++
 Referenced in 2 articles
[sw32889]
 solution of Quasi Interpolation problems using Bspline univariate or bivariate (tensor product) with Hermite...