R Observatory: Metrics for splinetree version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

splinetree

0.2.0Package record

Longitudinal Regression Trees and Forests

0packages depend

2.9Kdownloads / year

73.5%test coverage

13/13flavors OK

Overview

About

Maintained by Anna NeufeldCRAN page ↗GitHub ↗Issues ↗

Builds regression trees and random forests for longitudinal or functional data using a spline projection method. Implements and extends the work of Yu and Lambert (1999) doi:10.1080/10618600.1999.10474847. This method allows trees and forests to be built while considering either level and shape or only shape of response trajectories.

Changes in 0.2.0

This is a minor release. The following changes were made:

Modified the method of plotting trajectories for trees built without an intercept. Previously, the intercept-less trajectories were shifted by the average individual baseline response to put them in the range of reasonable response values. This is inappropriate when the "baseline" does not correspond to a value of 0 of the time variable. Now, average individual estimated intercept coefficients are used instead.
Eliminated redundant information return by a call to splineForest. Previously, individual smoothing coefficients were in the named attribute Ydata even though they are also included in the named attribute flat_data. The named attribute Ydata no longer exists.
Fixed an issue with node labeling in the "spaghettiPlot" function. Now the panel labels match the node labels in the tree printout.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("splinetree", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("anna-neufeld/splinetree")

Development version from anna-neufeld/splinetree. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-splinetree

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-splinetree

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-splinetree

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-02

Show 2 earlier changesHide 2 earlier changes

ERROR11 OK, 1 ERROR2026-04-25
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 85 wordsVignettesYes · 6 · dynamicNEWSYes · 33% structured · mentions 0.2.0Citation fileNo

Help pages: 40 (14 internal)
Examples that run: 83%20 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 86%
Documented parameters: 100%
Return-value docs: 71%
Help pages citing references: 0%

Vignettes (6)

How these are measured

Downloads

2.9K

CRAN downloads in the past year

Rank #13,142 · ~8/day · ~239/mo

Releases R versions

Daily download trend is not available in this view yet.

32030 days

86390 days

2.9K1 year

Compare downloads with other packages →

Also on104 r2u6 autocran158 c2d4u

How downloads are counted

Repository

anna-neufeld/splinetree ↗Account: anna-neufeld

4Stars

0Forks

0Open issues

0Open PRs

0Releases

132Commits

2Commit identities

132 commits · Last activity 2019-08-26 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2023-05-10 · 42026-07-07 · 4

How these are measured

PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/anna-neufeld/splinetree on 2026-10-18.

Continuous integration (1)

Travis CI (config file)

Docs source (2)

pkgdown

GitHub Pages site last deployed 2019-08-26

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing splinetree adds 78 packages (38 with compiled code, 74 MB of source tarballs). Heaviest: stringi 11 MB, ggformula 6.0 MB, ggplot2 6.0 MB.

Depends (4)

R >= 3.5.0rpartnlmesplines

Imports (4)

mosaic ggplot2 treeClust mclust

LinkingTo (0)

none

Suggests (4)

R.rsp knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Anna Neufeld

Author, Maintainer since 0.1.0 (2018)

Brianna Heggeseth

Author, Thesis advisor

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
0.2.0Latest
record
2019-07-18 · current release · diff ↗
R
R 3.6.0 released · 2019-04-26
0.1.1
record
2019-01-07 · diff ↗
0.1.0
record
2018-09-25
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-09-25
Total releases: 3 / 8 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 2.2 MB / 5 files
Download size: 2.6 MB

Appears in task views

Functional Data Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("splinetree")

Format

Neufeld, A., & Heggeseth, B. (2019). splinetree: Longitudinal Regression Trees and Forests (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.splinetree

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for splinetree version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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