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bigsplines  

Smoothing Splines for Large Samples
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bigsplines", "1.1-1")



Attach the package and use:
library("bigsplines")
Maintained by
Nathaniel E. Helwig
[Scholar Profile | Author Map]
First Published: 2014-04-04
Latest Update: 2018-05-25
Description:
Fits smoothing spline regression models using scalable algorithms designed for large samples. Seven marginal spline types are supported: linear, cubic, different cubic, cubic periodic, cubic thin-plate, ordinal, and nominal. Random effects and parametric effects are also supported. Response can be Gaussian or non-Gaussian: Binomial, Poisson, Gamma, Inverse Gaussian, or Negative Binomial.
How to cite:
Nathaniel E. Helwig (2014). bigsplines: Smoothing Splines for Large Samples. R package version 1.1-1, https://cran.r-project.org/web/packages/bigsplines. Accessed 05 Apr. 2025.
Previous versions and publish date:
1.0-0 (2014-04-04 01:27), 1.0-1 (2014-05-17 22:52), 1.0-2 (2014-07-12 07:34), 1.0-3 (2014-08-27 00:39), 1.0-4 (2014-10-03 22:37), 1.0-5 (2015-02-11 20:02), 1.0-6 (2015-03-17 17:27), 1.0-7 (2015-08-09 21:31), 1.0-8 (2016-03-17 18:59), 1.0-9 (2016-08-13 11:01), 1.1-0 (2017-02-03 14:33)
Other packages that cited bigsplines R package
View bigsplines citation profile
Other R packages that bigsplines depends, imports, suggests or enhances
Complete documentation for bigsplines
Functions, R codes and Examples using the bigsplines R package
Some associated functions: bigspline . bigsplines-internal . bigsplines-package . bigssa . bigssg . bigssp . bigtps . binsamp . imagebar . makessa . makessg . makessp . ordspline . plotbar . plotci . predict.bigspline . predict.bigssa . predict.bigssg . predict.bigssp . predict.bigtps . predict.ordspline . print . ssBasis . summary . 
Some associated R codes: MPinv.R . bigspline.R . bigssa.R . bigssg.R . bigssp.R . bigtps.R . binsamp.R . gcvcss.R . gcvgss.R . gcvoss.R . gcvssa.R . gcvssg.R . gcvssp.R . getRandom.R . imagebar.R . lamcoef.R . lamcoefg.R . lamloop.R . lamloopg.R . makeZtX.R . makeZtZ.R . makerkm.R . makessa.R . makessg.R . makessp.R . nbmle.R . num2col.R . ordspline.R . pdsXty.R . pinvsm.R . plotbar.R . plotci.R . postvar.R . predict.bigspline.R . predict.bigssa.R . predict.bigssg.R . predict.bigssp.R . predict.bigtps.R . predict.ordspline.R . print.bigspline.R . print.bigssa.R . print.bigssg.R . print.bigssp.R . print.bigtps.R . print.ordspline.R . print.summary.bigspline.R . print.summary.bigssa.R . print.summary.bigssg.R . print.summary.bigssp.R . print.summary.bigtps.R . remlri.R . remlvc.R . rkron.R . smartssa.R . smartssg.R . smartssp.R . ssBasis.R . ssadpm.R . ssawork.R . ssblup.R . ssgwork.R . sspdpm.R . sspwork.R . summary.bigspline.R . summary.bigssa.R . summary.bigssg.R . summary.bigssp.R . summary.bigtps.R . tcprod.R . unifqsum.R . unifqsumg.R .  Full bigsplines package functions and examples
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