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README.md
In VDPO: Working with and Analyzing Functional Data of Varying Lengths
VDPO
The VDPO package provides tools for working with and analyzing functional data of varying lengths. This variation in length can occur in two different scenarios: Variable Domain Data and Partially Observed Data. This refers to cases where the domain over which the data is observed changes between observations or when the functional data are not fully observed over the entire domain of interest, respectively. For instance, in growth curve analysis, each individual might have measurements starting and ending at different ages, leading to varying observation ranges. Similarly, in environmental studies, different locations might have data collected over distinct time periods, creating domains of different lengths.
Related Papers
- Pavel Hernandez-Amaro, Maria Durban, M. Carmen Aguilera-Morillo, Cristobal Esteban Gonzalez, Inmaculada Arostegui. "Modelling physical activity profiles in COPD patients: a fully functional approach to variable domain functional regression models." doi: 10.48550/arXiv.2401.05839
Installation
To install the package from GitHub, the remotes package is required:
# install.packages("remotes")
remotes::install_github("Pavel-Hernadez-Amaro/VDPO")
Web
The web page of the package can be accessed from this link.
Try the VDPO package in your browser
Any scripts or data that you put into this service are public.
VDPO documentation built on Oct. 21, 2024, 5:07 p.m.
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VDPO
The VDPO package provides tools for working with and analyzing functional data of varying lengths. This variation in length can occur in two different scenarios: Variable Domain Data and Partially Observed Data. This refers to cases where the domain over which the data is observed changes between observations or when the functional data are not fully observed over the entire domain of interest, respectively. For instance, in growth curve analysis, each individual might have measurements starting and ending at different ages, leading to varying observation ranges. Similarly, in environmental studies, different locations might have data collected over distinct time periods, creating domains of different lengths.
Related Papers
- Pavel Hernandez-Amaro, Maria Durban, M. Carmen Aguilera-Morillo, Cristobal Esteban Gonzalez, Inmaculada Arostegui. "Modelling physical activity profiles in COPD patients: a fully functional approach to variable domain functional regression models." doi: 10.48550/arXiv.2401.05839
Installation
To install the package from GitHub, the remotes package is required:
# install.packages("remotes")
remotes::install_github("Pavel-Hernadez-Amaro/VDPO")
Web
The web page of the package can be accessed from this link.
Try the VDPO package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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