R Observatory: Metrics for MECfda version 0.2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MECfda

0.2.1Package record

Scalar-on-Function Regression with Measurement Error Correction

0packages depend

2.4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Heyang JiCRAN page ↗

Solve scalar-on-function linear models, including generalized linear mixed effect model and quantile linear regression model, and bias correction estimation methods due to measurement error. Details about the measurement error bias correction methods, see Luan et al. (2023) doi:10.48550/arXiv.2305.12624, Tekwe et al. (2022) doi:10.1093/biostatistics/kxac017, Zhang et al. (2023) doi:10.5705/ss.202021.0246, Tekwe et al. (2019) doi:10.1002/sim.8179.

Changes in 0.2.1

**Maintainer:** Heyang Ji

**Previous Version:** 0.2.0

**Bug Fix**

Fixed an issue in the ME.fcQR_CLS function where the data.Z argument did not support data frames containing non-numeric variables.

**Visualization**

Enhanced the plot function for basis function series, providing more options and greater flexibility for visualization.

**Documentation**

Improved the clarity of the documentation.

From NEWS.md in the release

Install

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

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

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

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-mecfda

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-MECfda

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-MECfda

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: 3.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-11

Show 2 earlier changesHide 2 earlier changes

WARNING12 OK, 1 WARNING2026-05-10
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.1

READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 40 (1 internal)
Examples that run: 100%25 run in a plain check
Exported functions with examples: 77%
Documented parameters: 99%
Return-value docs: 76%
Help pages citing references: 13%

Vignettes (1)

MECfda: An R package for bias correction due to measurement error in functional and scalar covariates in scalar-on-function regression models HTML

How these are measured

Downloads

2.4K

CRAN downloads in the past year

Rank #19,274 · ~7/day · ~200/mo

Releases R versions

Daily download trend is not available in this view yet.

33830 days

68290 days

2.4K1 year

Compare downloads with other packages →

Also on81 r2u6 autocran

How downloads are counted

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing MECfda adds 67 packages (39 with compiled code, 49 MB of source tarballs). Heaviest: ggplot2 6.0 MB, lme4 4.3 MB, fds 3.7 MB.

Depends (1)

R >= 2.10

Imports (18)

statsutilslme4 quantregsplinesdplyrMASSMatrixgss corpcor fda magrittrmethodsnlmeglmemgcvrefund pracma

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

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 (9)

Heyang Ji

Author, Maintainer since 0.1.0 (2024), Contributor, Data contributor

Ufuk Beyaztas

Author, Contributor, Reviewer

Xiwei Chen

Author, Contributor

Yuanyuan Luan

Author, Contributor

Carmen Tekwe

Author, Thesis advisor

Lan Xue

Author, Thesis advisor

Mengli Zhang

Author, Contributor

Roger Zoh

Author, Thesis advisor

Nicolas Escobar-Velasquez

Compiler

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.2.1Latest
record
2025-06-30 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.2.0
record
2025-03-06 · diff ↗ ·
added 8 exports
FPC_basis_expansion, MECfda_simDataGen_ME, MECfda_simDataGen_fcReg, MEM_X_hat, numericBasisSeries2fun, numericBasis_series, numeric_basis, numeric_basis_expansion
0.1.0
record
2024-10-21
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-10-21
Total releases: 3 / 2 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.10
Bundled data: 728 KB / 8 files
Download size: 851 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MECfda")

Format

Ji, H., Beyaztas, U., Chen, X., Escobar-Velasquez, N., Luan, Y., Tekwe, C., Xue, L., Zhang, M., & Zoh, R. (2025). MECfda: Scalar-on-Function Regression with Measurement Error Correction (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.MECfda

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 MECfda version 0.2.1 [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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