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.

Install the latest version of this package by entering the following in R:
install.packages("bigsplines")
AuthorNathaniel E. Helwig <helwig@umn.edu>
Date of publication2017-02-03 14:32:57
MaintainerNathaniel E. Helwig <helwig@umn.edu>
LicenseGPL (>= 2)
Version1.1-0

View on CRAN

Functions

bigspline Man page
bigsplines Man page
bigsplines-package Man page
bigssa Man page
bigssg Man page
bigssp Man page
bigtps Man page
binsamp Man page
gcvcss Man page
gcvgss Man page
gcvoss Man page
gcvssa Man page
gcvssg Man page
gcvssp Man page
getRandom Man page
imagebar Man page
lamcoef Man page
lamcoefg Man page
lamloop Man page
lamloopg Man page
makerkm Man page
makessa Man page
makessg Man page
makessp Man page
makeZtX Man page
makeZtZ Man page
MPinv Man page
nbmle Man page
num2col Man page
ordspline Man page
pdsXty Man page
pinvsm Man page
plotbar Man page
plotci Man page
postvar Man page
predict.bigspline Man page
predict.bigssa Man page
predict.bigssg Man page
predict.bigssp Man page
predict.bigtps Man page
predict.ordspline Man page
print.bigspline Man page
print.bigssa Man page
print.bigssg Man page
print.bigssp Man page
print.bigtps Man page
print.ordspline Man page
print.summary.bigspline Man page
print.summary.bigssa Man page
print.summary.bigssg Man page
print.summary.bigssp Man page
print.summary.bigtps Man page
remlri Man page
remlvc Man page
rkron Man page
smartssa Man page
smartssg Man page
smartssp Man page
ssadpm Man page
ssawork Man page
ssBasis Man page
ssblup Man page
ssgwork Man page
sspdpm Man page
sspwork Man page
summary.bigspline Man page
summary.bigssa Man page
summary.bigssg Man page
summary.bigssp Man page
summary.bigtps Man page
tcprod Man page
unifqsum Man page
unifqsumg Man page

Files

src
src/linker.f
src/cubkerzsym.f
src/sumfreq.f
src/nomker.f
src/perker.f
src/ordker.f
src/cubkersym.f
src/linkersym.f
src/nomkersym.f
src/perkersym.f
src/tpsker.f
src/ordkermon.f
src/ordkersym.f
src/cubker.f
src/tpskersym.f
src/cubkerz.f
NAMESPACE
R
R/postvar.R R/predict.bigssg.R R/remlri.R R/gcvcss.R R/bigssp.R R/tcprod.R R/lamcoefg.R R/predict.bigtps.R R/makessg.R R/imagebar.R R/bigssg.R R/rkron.R R/nbmle.R R/print.bigssg.R R/getRandom.R R/plotci.R R/print.summary.bigssp.R R/remlvc.R R/print.bigssp.R R/summary.bigssp.R R/smartssg.R R/lamcoef.R R/ssgwork.R R/gcvssa.R R/print.summary.bigssg.R R/predict.bigssa.R R/sspwork.R R/print.summary.bigtps.R R/bigtps.R R/makessa.R R/smartssa.R R/summary.bigssg.R R/ordspline.R R/summary.bigtps.R R/print.bigssa.R R/bigspline.R R/makeZtZ.R R/predict.bigspline.R R/print.ordspline.R R/lamloop.R R/sspdpm.R R/binsamp.R R/print.bigtps.R R/ssBasis.R R/makerkm.R R/bigssa.R R/pdsXty.R R/num2col.R R/print.summary.bigssa.R R/plotbar.R R/smartssp.R R/ssblup.R R/MPinv.R R/gcvssp.R R/ssadpm.R R/makeZtX.R R/unifqsum.R R/summary.bigspline.R R/gcvssg.R R/unifqsumg.R R/gcvoss.R R/gcvgss.R R/summary.bigssa.R R/pinvsm.R R/ssawork.R R/predict.bigssp.R R/print.summary.bigspline.R R/print.bigspline.R R/makessp.R R/predict.ordspline.R R/lamloopg.R
MD5
DESCRIPTION
ChangeLog
man
man/plotbar.Rd man/bigsplines-internal.Rd man/ssBasis.Rd man/bigspline.Rd man/predict.bigssp.Rd man/makessp.Rd man/predict.bigspline.Rd man/imagebar.Rd man/predict.ordspline.Rd man/bigssa.Rd man/makessg.Rd man/bigssg.Rd man/bigssp.Rd man/ordspline.Rd man/plotci.Rd man/predict.bigtps.Rd man/print.Rd man/predict.bigssg.Rd man/binsamp.Rd man/bigtps.Rd man/makessa.Rd man/predict.bigssa.Rd man/summary.Rd man/bigsplines-package.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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