Package: aspline 0.2.0

aspline: Spline Regression with Adaptive Knot Selection

Perform one-dimensional spline regression with automatic knot selection. This package uses a penalized approach to select the most relevant knots. B-splines of any degree can be fitted. More details in 'Goepp et al. (2018)', "Spline Regression with Automatic Knot Selection", <arxiv:1808.01770>.

Authors:Vivien Goepp [aut, cre], Grégory Nuel [aut]

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manual.pdf |manual.html✨
card.svg |card.png
aspline/json (API)

# Install 'aspline' in R:

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

Bug tracker:https://github.com/goepp/aspline/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

bladder - Bladder Cancer aCGH profile data
coal - Yearly number of coal mine disasters in Britain
fossil - Fossil data
helmet - Testing Crash Helmets
lidar - Lidar data
montreal - Montreal Temperature Data
nmr - Nuclear Magnetic Resonance data
titanium - Titanium heat data

On CRAN:

adaptive-splines fitting-splines knots regression-spline cpp

4.65 score 6 stars 15 scripts 282 downloads 11 exports 36 dependencies

Last updated from:fdec25c921. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	173
linux-devel-x86_64	OK	192
source / vignettes	OK	206
linux-release-arm64	OK	161
linux-release-x86_64	OK	162
macos-release-arm64	OK	190
macos-release-x86_64	OK	406
macos-oldrel-arm64	OK	161
macos-oldrel-x86_64	OK	438
windows-devel	OK	151
windows-release	OK	209
windows-oldrel	OK	127
wasm-release	OK	126

Exports:%>%aridge_solver aspline band_weight bandsolve hessian_solver LDL mat2rot rot2mat weight_design_band wridge_solver

Dependencies:cli cpp11 dplyr farver generics ggplot2 glue gtable isoband labeling lattice lifecycle magrittr Matrix mgcv nlme pillar pkgconfig purrr R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales splines2 stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr

Illustration of Adaptive Spline

Vivien Goepp

Rendered fromhelmet_data_example.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2022-06-06
Started: 2018-08-27

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Fit B-splines with automatic knot selection.	aridge_solver aspline
Create the penalty matrix	band_weight
bandsolve	bandsolve
Bladder Cancer aCGH profile data	bladder
Transform a Spline Design Matrix in block compressed form	block_design
Yearly number of coal mine disasters in Britain	coal
Fossil data	fossil
Testing Crash Helmets	helmet
Inverse the hessian and multiply it by the score	hessian_solver
LDL	LDL
Lidar data	lidar
Rotate a band matrix to get the rotated row-wised matrix associated.	mat2rot
Montreal Temperature Data	montreal
Nuclear Magnetic Resonance data	nmr
Get back a symmetric square matrix based on his rotated row-wised version.	rot2mat
Titanium heat data	titanium
Fast computation of weighted design matrix for generalized linear model	weight_design_band
Fit B-Splines with weighted penalization over differences of parameters	wridge_solver