AdaptFitOS: Adaptive Semiparametric Additive Regression with Simultaneous Confidence Bands and Specification Tests

Fits semiparametric additive regression models with spatially adaptive penalized splines and computes simultaneous confidence bands and associated specification (lack-of-fit) tests. Simultaneous confidence bands cover the entire curve with a prescribed level of confidence and allow us to assess the estimation uncertainty for the whole curve. In contrast to pointwise confidence bands, they permit statements about the statistical significance of certain features (e.g. bumps) in the underlying curve.The method allows for handling of spatially heterogeneous functions and their derivatives as well as heteroscedasticity in the data. See Wiesenfarth et al (2012) <doi:10.1080/01621459.2012.682809>.

Version: 0.67
Depends: nlme, MASS, splines
Imports: mgcv, SemiPar
Published: 2018-05-23
Author: Manuel Wiesenfarth and Tatyana Krivobokova
Maintainer: Manuel Wiesenfarth <m.wiesenfarth at dkfz.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: AdaptFitOS citation info
CRAN checks: AdaptFitOS results

Downloads:

Reference manual: AdaptFitOS.pdf
Package source: AdaptFitOS_0.67.tar.gz
Windows binaries: r-devel: AdaptFitOS_0.67.zip, r-release: AdaptFitOS_0.67.zip, r-oldrel: AdaptFitOS_0.67.zip
OS X binaries: r-release: AdaptFitOS_0.67.tgz, r-oldrel: AdaptFitOS_0.67.tgz
Old sources: AdaptFitOS archive

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