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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>.
Version: | 0.1.0 |
Depends: | R (≥ 2.10) |
Imports: | stats, stringr, lme4, quantreg, splines, dplyr, MASS, Matrix, gss, corpcor, fda, magrittr, methods, nlme, glme, mgcv |
Suggests: | knitr, rmarkdown |
Published: | 2024-10-21 |
DOI: | 10.32614/CRAN.package.MECfda |
Author: | Heyang Ji [aut, cre, ctb, dtc], Ufuk Beyaztas [ctb, rev], Nicolas Escobar-Velasquez [com], Yuanyuan Luan [ctb], Xiwei Chen [ctb], Mengli Zhang [ctb], Roger Zoh [ths], Lan Xue [ths], Carmen Tekwe [ths] |
Maintainer: | Heyang Ji <jihx1015 at outlook.com> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | MECfda results |
Reference manual: | MECfda.pdf |
Vignettes: |
Introduction to MECfda Package (source, R code) |
Package source: | MECfda_0.1.0.tar.gz |
Windows binaries: | r-devel: MECfda_0.1.0.zip, r-release: MECfda_0.1.0.zip, r-oldrel: MECfda_0.1.0.zip |
macOS binaries: | r-release (arm64): MECfda_0.1.0.tgz, r-oldrel (arm64): MECfda_0.1.0.tgz, r-release (x86_64): MECfda_0.1.0.tgz, r-oldrel (x86_64): MECfda_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.