• WINSTEPS

  • Referenced in 27 articles [sw06661]
  • construct validity, quality-control fit statistics, statistical information, linearity, local dependency and unidimensionality. Rasch implements...
  • CGAL

  • Referenced in 394 articles [sw00118]
  • parameterization, as well as estimation of local differential properties, and approximation of ridges and umbilics ... interpolation and placement of streamlines), shape analysis, fitting, and distances (smallest enclosing sphere of points ... matrix search framework and a solver for linear and quadratic programs. It further offers interfaces...
  • BayesReg

  • Referenced in 5 articles [sw31836]
  • Bayesian Regression Models with Global-Local Shrinkage Priors. Fits linear or logistic regression model using...
  • npbr

  • Referenced in 1 article [sw15636]
  • empirical, smoothed, unrestricted as well as constrained fits under both separate and multiple shape constraints ... techniques based on piecewise polynomials, splines, local linear fitting, extreme values and kernel smoothing...
  • LOESS

  • Referenced in 2 articles [sw11664]
  • more variables by local fitting of linear or quadratic models with a neighborhood weighting that...
  • L2WPMA

  • Referenced in 9 articles [sw04326]
  • positive integer. Hence, the piecewise linear interpolant to the fit consists of k monotonic sections ... This calculation can have about O(nk) local minima, because the positions of the turning...
  • Sheppack

  • Referenced in 16 articles [sw07352]
  • global interpolant by blending local interpolants using local-support weight functions usually creates reasonable approximations ... linear variations of the original Shepard algorithm. An option to the linear Shepard code ... statistically robust fit, intended to be used when the data is known to contain outliers...
  • EquiLoad

  • Referenced in 12 articles [sw01549]
  • performance, we use phase-type distribution fittings and solve the resulting models using ... M/PH/1 queues that only requires solution of linear systems. The results show that EquiLoad greatly ... servers, therefore behaving similarly to a “locality-aware” allocation policy, but at a very...
  • LMEF

  • Referenced in 3 articles [sw13929]
  • linear multi-step method (explicit, implicit or backward differentiation formulas) with algebraic and/or exponential fitting ... ordinary differential equations. Moreover, LMEF calculates the local truncation error and in the case...
  • regtools

  • Referenced in 1 article [sw27435]
  • Tools. Tools for linear, nonlinear and nonparametric regression and classification. Parametric fit assessment using nonparametric ... classification. Nonparametric regression for general dimension, locally-linear option. Nonlinear regression with Eickert-White method...
  • picasso

  • Referenced in 3 articles [sw20406]
  • Shooting Algorithm. Computationally efficient tools for fitting generalized linear model with convex or non-convex ... computation, and attains a linear convergence to a unique sparse local optimum with optimal statistical...
  • cvplogistic

  • Referenced in 5 articles [sw29394]
  • penalty, the package also provides the local linear approximation by coordinate descant ... along kappa, which is a more smooth fit for the logistic model. Tuning parameter selection...
  • ROOT

  • Referenced in 5 articles [sw20052]
  • span a large number of files on local disks, the web, or a number ... mathematical and statistical functions, including linear algebra classes, numerical algorithms such as integration and minimization ... various methods for performing regression analysis (fitting). In particular, the RooFit package allows the user...
  • MUSCOP

  • Referenced in 7 articles [sw06143]
  • spatial discretization points. It consists of a linear iterative splitting approach (LISA) within a Newton ... method for inequality constrained problems and provide local convergence theory. In addition we develop ... grid approximation for the Lagrangian Hessian which fits well in the two-grid Newton-Picard ... coarse grid determines the asymptotic linear convergence rate, i.e., Bock’s kappa. Based on reliable...
  • SDRcausal

  • Referenced in 1 article [sw38424]
  • outcome regression models, are fitted by using semiparametric locally efficient dimension reduction estimators, thereby allowing ... large sets of confounding covariates. Techniques including linear extrapolation, numerical differentiation, and truncation have been...
  • PROC GAM

  • Referenced in 1 article [sw12075]
  • Overview: GAM Procedure. The GAM procedure fits generalized additive models as those models are defined ... Nonparametric regression relaxes the usual assumption of linearity and enables you to uncover structure ... regression, such as the LOESS procedure for local regression and the TPSPLINE procedure for thin ... plate smoothing splines. The generalized additive models fit by the GAM procedure combine the following...
  • exactLoglinTest

  • Referenced in 3 articles [sw25926]
  • exactLoglinTest. This package evaluates model fit for Poisson log-linear models by conditioning on minimal ... algorithm can be implemented that makes more localized jumps within the reference set. The manuscript...
  • ULySS

  • Referenced in 0 articles [sw38474]
  • package to fit spectroscopic observations against a linear combination of non-linear model components convolved ... either local or global, and determines all the parameters in a single fit...
  • Jet_fitting_3

  • Referenced in 3 articles [sw22886]
  • science and engineering, and estimating the local differential properties of a surface discretized ... estimation consists of resorting to polynomial fitting, either interpolation or approximation, but this route ... coordinate system, numerical handling of the fitting problem, and extraction of the differential properties. This ... between these two geometries, and (d) the linear algebra operations. An instantiation within the Computational...
  • vbdcast

  • Referenced in 3 articles [sw34857]
  • flexible nonparametric nonlinear Gaussian process (GP) regression fits that “memorize” the trajectories of past seasons ... approach generally outperforms a more classical generalized linear (autoregressive) model (GLM) that we developed ... method(s) on the two benchmark locales alongside a full summary of results submitted...