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AdaptFitOS (version 0.69)

Adaptive Semiparametric Additive Regression with Simultaneous Confidence Bands and Specification Tests

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) .

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Version

Install

install.packages('AdaptFitOS')

Monthly Downloads

97

Version

0.69

License

GPL (>= 2)

Maintainer

Manuel Wiesenfarth

Last Published

July 21st, 2022

Functions in AdaptFitOS (0.69)

plot.asp

Plots fitted curves or their derivatives
summary.asp

Summaries and hypothesis tests
sigma

Extract estimated varying residual variance
scbM

Calculate simultaneous confidence bands for penalized splines
aspFormula

An asp formula
AdaptFitOS-internal

Internal AdaptFitOS objects
default.knots

Compute default knots for a given x vector
aspHetero

Estimate varying residual variance
AdaptFitOS-package

tools:::Rd_package_title("AdaptFitOS")
residuals.asp

Residuals for semiparametric regression.
fitted.asp

Fitted values for semiparametric regression.
asp2

Fit a semiparametric regression model with spatially adaptive penalized splines
predict.asp

Semiparametric regression prediction.