MECfda
Scalar-on-Function Regression with Measurement Error Correction
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.
- Version0.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release10/21/2024
Documentation
Team
Heyang Ji
Ufuk Beyaztas
Show author detailsRolesContributor, ReviewerNicolas Escobar-Velasquez
Yuanyuan Luan
Show author detailsRolesContributorXiwei Chen
Show author detailsRolesContributorMengli Zhang
Show author detailsRolesContributorRoger Zoh
Show author detailsRolesThesis advisorLan Xue
Show author detailsRolesThesis advisorCarmen Tekwe
Insights
Last 30 days
This package has been downloaded 239 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 995 times in the last 365 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The day with the most downloads was Oct 23, 2024 with 36 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports13 packages
- Suggests2 packages