• # rdd

• Referenced in 1 article [sw32641]
• supported. Estimation is accomplished using local linear regression. A provided function will utilize Imbens-Kalyanaraman...
• # regtools

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

• Referenced in 2 articles [sw31433]
• methods for multidimensional: linear binning, local polynomial kernel regression, density and variogram estimation. Nonparametric methods...

• Referenced in 6 articles [sw14077]
• methods (using a total variance decomposition into local and global components, analogous to Moran ... analysis and within/between groups analyses, many linear regression methods including lowess and polynomial regression, multiple...
• # COBRA

• Referenced in 7 articles [sw14858]
• estimators of the regression function is introduced. Instead of building a linear or convex optimized ... training data and a test observation. This local distance approach is model-free and very ... companion R package called (standing for COmBined Regression Alternative) is presented (downloadable on http://cran.r-project.org...
• # McSpatial

• Referenced in 2 articles [sw16522]
• package McSpatial. Locally weighted regression, semiparametric and conditionally parametric regression, fourier and cubic spline functions ... linearized spatial logit and probit, k-density functions and counterfactuals, nonparametric quantile regression and conditional...
• # cvplogistic

• Referenced in 4 articles [sw29394]
• solution surface for concave penalized logistic regression model. The SCAD and MCP (default ... penalty, the package also provides the local linear approximation by coordinate descant...
• # L2WPMA

• Referenced in 8 articles [sw04326]
• given positive integer. Hence, the piecewise linear interpolant to the fit consists of k monotonic ... This calculation can have about O(nk) local minima, because the positions of the turning ... problem (monotonic fit or isotonic regression) for each set. So it calculates efficiently a global...
• # LDOD

• Referenced in 1 article [sw20245]
• Locally D-optimal designs for Logistic, Negative Binomial, Poisson, Michaelis-Menten, Exponential, Log-Linear, Emax ... Richards, Weibull and Inverse Quadratic regression models and also functions for auto-constructing Fisher information...
• # MAIC

• Referenced in 6 articles [sw19964]
• Akaike’s Information Criterion in Linear Regression Analysis via Mixed Integer Nonlinear Program. Akaike ... unreasonable. Instead, stepwise methods, which are local search algorithms, are commonly used to find...
• # ROOT

• Referenced in 3 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...
• # PROC GAM

• Referenced in 1 article [sw12075]
• Nonparametric regression relaxes the usual assumption of linearity and enables you to uncover structure ... such as the LOESS procedure for local regression and the TPSPLINE procedure for thin-plate ... explored simultaneously; the distributional flexibility of generalized linear models (Nelder and Wedderburn 1972). Thus...
• # SNPStats

• Referenced in 2 articles [sw20043]
• association is based on linear or logistic regression according to the response variable (quantitative ... AVAILABILITY: http://bioinfo.iconcologia.net/SNPstats. Source code for local installation is available under GNU license...
• # StOpt

• Referenced in 4 articles [sw32903]
• methods based on Monte Carlo with regressions (global, local and sparse regressors), for underlying states ... Methods are proposed to solve some non linear PDEs. For each method, a framework...
• # GAITA

• Referenced in 2 articles [sw19464]
• regularized least squares regression ($ell_q$LS) problem, which arises in many applications of signal ... convergence}^{1}\$, eventual linear rate, and the convergence to a local minimizer. Compared...
• # npbr

• Referenced in 1 article [sw15636]
• package npbr: Nonparametric Boundary Regression. A variety of functions for the best known and most ... techniques based on piecewise polynomials, splines, local linear fitting, extreme values and kernel smoothing...
• # CensRegMod

• Referenced in 1 article [sw21092]
• this paper, we extend the censored linear regression model with normal errors to Student ... proposed model, case-deletion and local influence techniques are developed to show its robust aspect...