sparsefreg: sparsefreg: A package for performing scalar-on-function...
In justin-petrovich/sparsefreg: Scalar-on-Function Regression with a Highly Irregularly-Sampled Functional Covariate
Description
The sparsefreg package implements the MISFIT (Multiple Imputation for Sparsely-sampled
Functions at Irregular Times) approach, used for scalar-on-function regression when
the functional covariate is observed sparsely. MISFIT takes a missing data approach to
imputing (over a denser grid) a functional covariate which is only observed sparsely on
a grid. More specifically, the curves are represented by their Karhunen-Loeve expansion
where the scores are imputed and can be used to reconstruct the curves, and/or directly
used to fit an FPC regression model.
justin-petrovich/sparsefreg documentation built on Aug. 20, 2020, 9:04 p.m.
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Description
The sparsefreg package implements the MISFIT (Multiple Imputation for Sparsely-sampled Functions at Irregular Times) approach, used for scalar-on-function regression when the functional covariate is observed sparsely. MISFIT takes a missing data approach to imputing (over a denser grid) a functional covariate which is only observed sparsely on a grid. More specifically, the curves are represented by their Karhunen-Loeve expansion where the scores are imputed and can be used to reconstruct the curves, and/or directly used to fit an FPC regression model.
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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