
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...

LISPSTAT
 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 mixedeffect 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 loworder models. With ... physical constraints in the regression, e.g. energypreserving quadratic nonlinearities. The resulting models, hereafter referred ... constraints. Galerkin regression models also readily generalize to include higherorder 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]
 quasilikelihood 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/trustregion 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]
 parameterestimation 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...