Package: bigsplines 1.1-1

Nathaniel E. Helwig

bigsplines: Smoothing Splines for Large Samples

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.

Authors:Nathaniel E. Helwig <[email protected]>

bigsplines_1.1-1.tar.gz
bigsplines_1.1-1.tar.gz(r-4.7-arm64)bigsplines_1.1-1.tar.gz(r-4.7-x86_64)bigsplines_1.1-1.tar.gz(r-4.6-arm64)bigsplines_1.1-1.tar.gz(r-4.6-x86_64)
bigsplines_1.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bigsplines/json (API)

# Install 'bigsplines' in R:

install.packages('bigsplines', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.23 score 2 packages 26 scripts 1.1k downloads 1 mentions 87 exports 1 dependencies

Last updated from:9ddb95e9af. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	116
linux-devel-x86_64	OK	122
source / vignettes	OK	180
linux-release-arm64	OK	119
linux-release-x86_64	OK	127
wasm-release	OK	100

Exports:bigspline bigssa bigssg bigssp bigtps binsamp cubker cubkersym cubkerz cubkerzsym gcvcss gcvgss gcvoss gcvssa gcvssg gcvssp getRandom imagebar lamcoef lamcoefg lamloop lamloopg linker linkersym makerkm makessa makessg makessp makeZtX makeZtZ MPinv nbmle nomker nomkersym num2col ordker ordkermon ordkersym ordspline pdsXty perker perkersym pinvsm plotbar plotci postvar predict.bigspline predict.bigssa predict.bigssg predict.bigssp predict.bigtps predict.ordspline print.bigspline print.bigssa print.bigssg print.bigssp print.bigtps print.ordspline print.summary.bigspline print.summary.bigssa print.summary.bigssg print.summary.bigssp print.summary.bigtps remlri remlvc rkron smartssa smartssg smartssp ssadpm ssawork ssBasis ssblup ssgwork sspdpm sspwork sumfreq summary.bigspline summary.bigssa summary.bigssg summary.bigssp summary.bigtps tcprod tpsker tpskersym unifqsum unifqsumg

Dependencies:quadprog

Help page	Topics
Smoothing Splines for Large Samples	bigsplines-package bigsplines
Fits Smoothing Spline	bigspline
Fits Smoothing Spline ANOVA Models	bigssa
Fits Generalized Smoothing Spline ANOVA Models	bigssg
Fits Smoothing Splines with Parametric Effects	bigssp
Fits Cubic Thin-Plate Splines	bigtps
Bin-Samples Strategic Knot Indices	binsamp
Displays a Color Image with Colorbar	imagebar
Makes Objects to Fit Smoothing Spline ANOVA Models	makessa
Makes Objects to Fit Generalized Smoothing Spline ANOVA Models	makessg
Makes Objects to Fit Smoothing Splines with Parametric Effects	makessp
Fits Ordinal Smoothing Spline	ordspline
Generic X-Y Plotting with Colorbar	plotbar
Generic X-Y Plotting with Confidence Intervals	plotci
Predicts for "bigspline" Objects	predict.bigspline
Predicts for "bigssa" Objects	predict.bigssa
Predicts for "bigssg" Objects	predict.bigssg
Predicts for "bigssp" Objects	predict.bigssp
Predicts for "bigtps" Objects	predict.bigtps
Predicts for "ordspline" Objects	predict.ordspline
Prints Fit Information for bigsplines Model	print.bigspline print.bigssa print.bigssg print.bigssp print.bigtps print.ordspline print.summary.bigspline print.summary.bigssa print.summary.bigssg print.summary.bigssp print.summary.bigtps
Smoothing Spline Basis for Polynomial Splines	ssBasis
Summarizes Fit Information for bigsplines Model	summary.bigspline summary.bigssa summary.bigssg summary.bigssp summary.bigtps

Package: bigsplines 1.1-1

bigsplines: Smoothing Splines for Large Samples

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)