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AdaptFitOS  

Adaptive Semiparametric Additive Regression with Simultaneous Confidence Bands and Specification Tests
View on CRAN: Click here


Download and install AdaptFitOS package within the R console
Install from CRAN:
install.packages("AdaptFitOS")

Install from Github:
library("remotes")
install_github("cran/AdaptFitOS")

Install by package version:
library("remotes")
install_version("AdaptFitOS", "0.69")



Attach the package and use:
library("AdaptFitOS")
Maintained by
Manuel Wiesenfarth
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-03-20
Latest Update:
Description:
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 doi10.108001621459.2012.682809.
How to cite:
Manuel Wiesenfarth (2012). AdaptFitOS: Adaptive Semiparametric Additive Regression with Simultaneous Confidence Bands and Specification Tests. R package version 0.69, https://cran.r-project.org/web/packages/AdaptFitOS. Accessed 06 Jun. 2026.
Previous versions and publish date:
0.43 (2012-03-20 22:30), 0.45 (2012-12-14 12:58), 0.50 (2014-03-19 10:12), 0.54 (2014-07-22 13:48), 0.62 (2015-06-16 11:49), 0.65 (2017-09-22 12:45), 0.67 (2018-05-23 14:28), 0.68 (2022-02-25 12:00), 0.69 (2022-07-21 15:00)
Other packages that cited AdaptFitOS R package
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Other R packages that AdaptFitOS depends, imports, suggests or enhances
Functions, R codes and Examples using the AdaptFitOS R package
Full AdaptFitOS package functions and examples
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