Scalar-on-Function Regression with Measurement Error Correction R package MECfda version 0.2.1 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>. Software Depends: R (>= 2.10), Imports: stats, utils, lme4, quantreg, splines, dplyr, MASS, Matrix, gss, corpcor, fda, magrittr, methods, nlme, glme, mgcv, refund, pracma Suggests: knitr, rmarkdown Heyang Ji <jihx1015@outlook.com> Comprehensive R Archive Network (CRAN) Heyang Ji [aut, cre, ctb, dtc] (ORCID: <https://orcid.org/0009-0001-7494-7227>), Ufuk Beyaztas [aut, ctb, rev] (ORCID: <https://orcid.org/0000-0002-5208-4950>), Nicolas Escobar-Velasquez [com] (ORCID: <https://orcid.org/0009-0006-0800-5692>), Yuanyuan Luan [aut, ctb], Xiwei Chen [aut, ctb], Mengli Zhang [aut, ctb], Roger Zoh [aut, ths], Lan Xue [aut, ths], Carmen Tekwe [aut, ths] (ORCID: <https://orcid.org/0000-0002-1857-2416>) GPL-3 2025-06-30 application/tgz https://CRAN.R-project.org/package=MECfda doi:10.32614/CRAN.package.MECfda