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MECfda

0.2.1

Scalar-on-Function Regression with Measurement Error Correction

0packages depend
2.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Heyang JiFirst published 2024-10-213 releasesCRAN 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.

Install

Health

CRAN checks
13OK
Slowest check: 3.8 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
96%
Documentation · exports
18
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-11
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • WARNING2026-05-10
    12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
76%
References docs
13%

Downloads

2.2K
CRAN downloads in the past year
Rank #18,747 · ~6/day · ~180/mo
Daily download trend is not available in this view yet.
13830 days
58290 days
2.2K1 year
Compare downloads with other packages →
Also on125 r2u1 autocran

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (18)
statsutilslme4quantregsplinesdplyrMASSMatrixgsscorpcorfdamagrittrmethodsnlmeglmemgcvrefundpracma
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (9)
Maintainer (1)
Author, Maintainer, Contributor, Data contributor
Authors (8)
Author, Maintainer, Contributor, Data contributor
Author, Contributor, Reviewer
Author, Contributor
Author, Contributor
Author, Thesis advisor
Author, Thesis advisor
Author, Contributor
Author, Thesis advisor
Contributors (5)
Author, Maintainer, Contributor, Data contributor
Author, Contributor, Reviewer
Author, Contributor
Author, Contributor
Author, Contributor
Reviewers (1)
Author, Contributor, Reviewer
Other (1)
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.1Latest
    2025-06-30 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.0
    2025-03-06 · diff ↗
  • 0.1.0
    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
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MECfda")
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 is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MECfda version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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