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We implement adaptive estimation of the joint density linear model where the coefficients  intercept and slopes  are random and independent from regressors which support is a proper subset. The estimator proposed in Gaillac and Gautier (2019) <arXiv:1905.06584> is based on Prolate Spheroidal Wave Functions which are computed efficiently in 'RandomCoefficients'. This package also provides a parallel implementation of the estimator.
Package details 


Author  Christophe Gaillac [aut, cre], Eric Gautier [aut] 
Maintainer  Christophe Gaillac <christophe.gaillac@ensae.fr> 
License  GPL3 
Version  0.0.2 
Package repository  View on CRAN 
Installation 
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