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npreg  

Nonparametric Regression via Smoothing Splines
View on CRAN: Click here


Download and install npreg package within the R console
Install from CRAN:
install.packages("npreg")

Install from Github:
library("remotes")
install_github("cran/npreg")

Install by package version:
library("remotes")
install_version("npreg", "1.1.0")



Attach the package and use:
library("npreg")
Maintained by
Nathaniel E. Helwig
[Scholar Profile | Author Map]
First Published: 2019-08-25
Latest Update: 2022-07-20
Description:
Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) . Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors (including random intercepts), interactions between smoothers of mixed types, eight different methods for smoothing parameter selection, and flexible tools for diagnostics, inference, and prediction.
How to cite:
Nathaniel E. Helwig (2019). npreg: Nonparametric Regression via Smoothing Splines. R package version 1.1.0, https://cran.r-project.org/web/packages/npreg. Accessed 01 May. 2025.
Previous versions and publish date:
1.0-0 (2019-08-25 09:30), 1.0-1 (2019-12-10 07:20), 1.0-2 (2020-05-04 23:40), 1.0-3 (2020-07-06 18:20), 1.0-4 (2020-08-10 19:10), 1.0-5 (2020-11-30 08:00), 1.0-6 (2021-04-23 10:20), 1.0-7 (2022-02-11 17:40), 1.0-8 (2022-03-31 08:40), 1.0-9 (2022-07-21 01:00)
Other packages that cited npreg R package
View npreg citation profile
Other R packages that npreg depends, imports, suggests or enhances
Complete documentation for npreg
Functions, R codes and Examples using the npreg R package
Some associated functions: NegBin . bin.sample . boot . coef . deviance . diagnostic.plots . fitted . gsm . model.matrix . msqrt . nominal . npreg-internals . number2color . ordinal . plot.ss . plotci . polynomial . predict.gsm . predict.sm . predict.ss . psolve . residuals . sm . smooth.influence.measures . smooth.influence . spherical . ss . summary . theta.mle . thinplate . varimp . varinf . vcov . weights . wtd.mean . wtd.quantile . wtd.var . 
Some associated R codes: NegBin.R . basis.R . basis.nom.R . basis.ord.R . basis.poly.R . basis.sph.R . basis.tps.R . bin.sample.R . boot.R . boot.gsm.R . boot.sm.R . boot.ss.R . build_depe.R . build_depe2.R . build_rkhs.R . charkro.R . check_control.R . check_family.R . check_knot.R . check_type.R . check_type2.R . coef.R . cooks.distance.R . cov.ratio.R . deviance.R . dfbeta.R . dfbetas.R . diagnostic.plots.R . fit_gsm.R . fit_sm.R . fit_ssi.R . fitted.R . gsm.R . hatvalues.R . knot1samp.R . linkinvd.R . model.matrix.R . msqrt.R . number2color.R . penalty.R . penalty.nom.R . penalty.ord.R . penalty.poly.R . penalty.sph.R . penalty.tps.R . plot.ss.R . plotci.R . pred_depe.R . pred_rkhs.R . predict.gsm.R . predict.sm.R . predict.ss.R . psolve.R . residuals.R . rowkro.R . rstandard.R . rstudent.R . sm.R . smooth.influence.R . smooth.influence.measures.R . ss.R . summary.gsm.R . summary.sm.R . summary.ss.R . theta.mle.R . tune.deep.gsm.R . tune.deep.sm.R . varimp.R . varinf.R . vcov.R . weights.R . wtd.mean.R . wtd.quantile.R . wtd.sd.R . wtd.var.R .  Full npreg package functions and examples
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