gcvcss

gcvgss

gcvoss

gcvssa

gcvssg

gcvssp

getRandom

lamcoef

lamcoefg

lamloop

lamloopg

makerkm

makeZtX

makeZtZ

MPinv

nbmle

num2col

pdsXty

pinvsm

postvar

rkron

remlri

remlvc

smartssa

smartssg

smartssp

ssawork

ssadpm

ssblup

ssgwork

sspwork

sspdpm

tcprod

unifqsum

unifqsumg

cubker

cubkersym

cubkerz

cubkerzsym

linker

linkersym

nomker

nomkersym

ordker

ordkermon

ordkersym

perker

perkersym

sumfreq

tpsker

tpskersym

<p>Internal functions for big splines package.</p>

 internal

bigsplines-internal

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.

Nathaniel Helwig

bigsplines

Smoothing Splines for Large Samples

bigsplines-internal function

Internal functions for big splines package — bigsplines-internal

Internal functions for big splines package

bigsplines-internal: Internal functions for big splines package

Description

Arguments

Details