R Observatory: Metrics for RMCC version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RMCC

0.1.2Package record

Airborne LiDAR Filtering Method Based on Multiscale Curvature

0packages dependsuggested by 1

9.4Kdownloads / year

89.5%test coverage

12/13flavors OK

Overview

About

Maintained by Jean-Romain RousselCRAN page ↗GitHub ↗Issues ↗

Multiscale Curvature Classification of ground returns in 3-D LiDAR point clouds, designed for forested environments. 'RMCC' is a porting to R of the 'MCC-lidar' method by Evans and Hudak (2007) doi:10.1109/TGRS.2006.890412.

Install

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

install.packages("RMCC", 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("r-lidar/RMCC")

Development version from r-lidar/RMCC. 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-rmcc

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-RMCC

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-RMCC

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

1WARNING12OK

Check messages

WARNINGwhether package can be installedr-release-macos-x86_64

Found the following significant warnings:
  DisjointRegions.cpp:253:33: warning: ISO C++20 considers use of overloaded operator '!=' (with operand types 'mcc::Sequence<unsigned int>::iterator' and 'mcc::Sequence<unsigned int>::iterator') to be ambiguous despite there being a unique best viable function with non-reversed arguments [-Wambiguous-reversed-operator]
  DisjointRegions.cpp:261:42: warning: ISO C++20 considers use of overloaded operator '!=' (with operand types 'mcc::Sequence<unsigned int>::iterator' and 'mcc::Sequence<unsigned int>::iterator') to be ambiguous despite there being a unique best viable function with non-reversed arguments [-Wambiguous-reversed-operator]
  DisjointRegions.cpp:287:42: warning: ISO C++20 considers use of overloaded operator '!=' (with operand types 'mcc::Sequence<unsigned int>::iterator' and 'mcc::Sequence<unsigned int>::iterator') to be ambiguous despite there being a unique best viable function with non-reversed arguments [-Wambiguous-reversed-op
...[truncated]...
equence<unsigned int>::iterator') to be ambiguous despite there being a unique best viable function with non-reversed arguments [-Wambiguous-reversed-operator]
  RasterSurface.cpp:106:33: warning: ISO C++20 considers use of overloaded operator '!=' (with operand types 'mcc::Sequence<unsigned int>::iterator' and 'mcc::Sequence<unsigned int>::iterator') to be ambiguous despite there being a unique best viable function with non-reversed arguments [-Wambiguous-reversed-operator]
  RasterSurface.cpp:129:34: warning: ISO C++20 considers use of overloaded operator '!=' (with operand types 'mcc::Sequence<unsigned int>::iterator' and 'mcc::Sequence<unsigned int>::iterator') to be ambiguous despite there being a unique best viable function with non-reversed arguments [-Wambiguous-reversed-operator]
See ‘/Volumes/Builds/packages/big-sur-x86_64/results/4.6/RMCC.Rcheck/00install.out’ for details.
* used C++ compiler: ‘Apple clang version 14.0.3 (clang-1403.0.22.14.1)’
* used SDK: ‘MacOSX11.3.1.sdk’

CRAN check page ↗

Slowest check: 3.1 min · r-devel-windows-x86_64

Status changes

WARNING12 OK, 1 WARNING2026-09-08
ERROR11 OK, 1 WARNING, 1 ERROR2026-09-07
WARNING11 OK, 1 WARNING2026-04-25
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.2

READMEYes · 59 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: 100%1 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 50%

How these are measured

Downloads

9.4K

CRAN downloads in the past year

Rank #5,602 · ~26/day · ~783/mo

Releases R versions

Daily download trend is not available in this view yet.

51030 days

1.5K90 days

9.4K1 year

Compare downloads with other packages →

Also on362 r2u2 autocran

How downloads are counted

Repository

r-lidar/rmcc ↗Organization: r-lidar

7Stars

4Forks

0Open issues

0Open PRs

0Releases

49Commits

4Commit identities

49 commits · Last activity 2025-12-13 · 0% stars, 30d · The default branch showed an older version (0.1.1) than CRAN on 2026-10-21

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-08-11 · 62026-07-07 · 7

How these are measured

PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/r-lidar/rmcc on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

CRAN release process (1)

CRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing RMCC adds 2 packages (1 with compiled code, 16 MB of source tarballs). Heaviest: BH 14 MB, Rcpp 1.8 MB.

Depends (1)

R >= 2.10

Imports (1)

Rcpp

LinkingTo (2)

Rcpp BH

Suggests (1)

tinytest

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

lidR

How these are counted

Code & Tests

Datasets

People & History

People (6)

Jean-Romain Roussel

Author, Maintainer since 0.1.0 (2022)

Hudak Andrew T

Author

Evans Jeffrey S

Author

Green Code LLC

Copyright holder

Author of the mcc code under US federally funded contract

Thomas Becker

Copyright holder

Author of the included any_iterator library

Jarno Elonen

Copyright holder

Author of the included thin plate spline library

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.1.2Latest
record
2025-12-14 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.1.1
record
2024-07-04 · diff ↗
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
0.1.0
record
2022-02-08
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-02-08
Total releases: 3 / 4 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.10
Bundled data: 69 KB / 1 file
Download size: 109 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RMCC")

Format

Roussel, J., Green Code LLC, Andrew T, H., Becker, T., Elonen, J., & Jeffrey S, E. (2025). RMCC: Airborne LiDAR Filtering Method Based on Multiscale Curvature (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.RMCC

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 RMCC version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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