refreg
Conditional Multivariate Reference Regions
An R package for estimating conditional multivariate reference regions. The reference region is non parametrically estimated using a kernel density estimator. Covariates effects on the multivariate response means vector and variance-covariance matrix, thus on the region shape, are estimated by flexible additive predictors. Continuous covariates non linear effects might be estimated using penalized splines smoothers. Confidence intervals for the covariates estimated effects might be derived from bootstrap resampling. Kernel density bandwidth can be estimated with different methods, including a method that optimize the region coverage. Numerical, and graphical, summaries can be obtained by the user in order to evaluate reference region performance with real data. Full mathematical details can be found in doi:10.1002/sim.9163 and doi:10.1007/s00477-020-01901-1.
- Version0.1.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release04/18/2022
Team
Oscar Lado-Baleato
Javier Roca-Pardinas
Show author detailsRolesAuthor, ContributorCarmen Cadarso-Suarez
Show author detailsRolesAuthor, Thesis advisorGude Francisco
Show author detailsRolesAuthor, Thesis advisor
Insights
Last 30 days
This package has been downloaded 243 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 12 times.
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Last 365 days
This package has been downloaded 2,602 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 29 downloads.
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Dependencies
- Imports15 packages