• SemiPar

  • Referenced in 686 articles [sw07116]
  • package SemiPar: Semiparametic Regression. The primary aim of this book is to guide ... researchers needing to flexibly incorporate nonlinear relations into their regression analyses. Almost all existing regression...
  • KNITRO

  • Referenced in 175 articles [sw00490]
  • nonconvex. It is also effective for nonlinear regression, problems with complementarity constraints (MPCCs or MPECs ... integer programming (MIPs), particular convex mixed integer, nonlinear problems (MINLP). KNITRO is highly regarded...
  • nlmdl

  • Referenced in 116 articles [sw27811]
  • least squares estimates for a univariate nonlinear regression model and generalized least squares estimates ... multivariate nonlinear regression model. Use the SUR option for both. Other options ... heteroskedasticity and/or serial correlation. For simultaneous nonlinear systems, possibly in implicit form, it computes three...
  • LISP-STAT

  • Referenced in 116 articles [sw01111]
  • model representations, such as linear and nonlinear regression models and generalized linear models. Many aspects...
  • BayesLogit

  • Referenced in 44 articles [sw09312]
  • method, including logistic regression, negative binomial regression, nonlinear mixed-effect models, and spatial models...
  • tgp

  • Referenced in 35 articles [sw07921]
  • Gaussian process models. Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian processes...
  • quantreg

  • Referenced in 138 articles [sw04356]
  • Quantile Regression. Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric...
  • SINDy

  • Referenced in 17 articles [sw30277]
  • Constrained sparse Galerkin regression. The sparse identification of nonlinear dynamics (SINDy) is a recently proposed ... modelling framework that uses sparse regression techniques to identify nonlinear low-order models. With ... physical constraints in the regression, e.g. energy-preserving quadratic nonlinearities. The resulting models, hereafter referred ... constraints. Galerkin regression models also readily generalize to include higher-order nonlinear terms that model...
  • GraphPad Prism

  • Referenced in 15 articles [sw13370]
  • combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. GraphPad Prism...
  • nlrwr

  • Referenced in 6 articles [sw04482]
  • nlrwr: Nonlinear regression with R , Datasets and functions for nonlinear regression. Support software ... book ”Nonlinear regression with...
  • nlr

  • Referenced in 9 articles [sw05244]
  • quasi-likelihood estimation parameters in nonlinear regression models We present Fortran 77 subroutines that solve ... statistical parameter estimation problems for general nonlinear models, e.g., nonlinear least squares, maximum likelihood, maximum ... generalization of the NL2SOL algorithm for nonlinear least squares, employs a model/trust-region scheme for computing ... parameters, and that compute approximate regression diagnostics...
  • cftool

  • Referenced in 8 articles [sw14885]
  • compare multiple fits. Use linear or nonlinear regression, interpolation, smoothing, and custom equations. View goodness...
  • UCODE

  • Referenced in 5 articles [sw25638]
  • parameter-estimation problem, using nonlinear regression. Any application model or set of models ... included in the regression. The nonlinear regression problem is solved by minimizing a weighted least...
  • PROC NLIN

  • Referenced in 5 articles [sw26218]
  • PROC NLIN: The NLIN procedure fits nonlinear regression models and estimates the parameters by nonlinear...
  • ppls

  • Referenced in 5 articles [sw24174]
  • Squares. This package contains linear and nonlinear regression methods based on Partial Least Squares...
  • ellipse

  • Referenced in 5 articles [sw04362]
  • described in Bates and Watts (1988), Nonlinear Regression Analysis and its Applications...
  • Expectreg

  • Referenced in 13 articles [sw14660]
  • Quantile Regression. Expectile and quantile regression of models with nonlinear effects e.g. spatial, random, ridge...
  • nlstools

  • Referenced in 4 articles [sw04484]
  • package nlstools: Tools for nonlinear regression diagnostics , Several tools for assessing the quality...
  • horserule

  • Referenced in 4 articles [sw27913]
  • Bayesian model for flexible nonlinear regression and classification using tree ensembles. The model is based...