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SiZer

This is a R package that implements the Significant Zero Crossings as defined in Chaudhuri and Marron (1999)

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Install

install.packages('SiZer')

Monthly Downloads

408

Version

0.1-8

License

GPL (>= 2)

Issues

0

Pull Requests

0

Stars

1

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0

Maintainer

Derek Sonderegger

Last Published

July 9th, 2022

Functions in SiZer (0.1-8)

SiZer

Calculate SiZer Map
logLik.PiecewiseLinear

Calculates the log-Likelihood value
bent.cable

Fits a bent-cable model to the given data Fits a bent-cable model to the given data by exhaustively searching the 2-dimensional parameter space to find the maximum likelihood estimators for \(\alpha\) and \(\gamma\).
plot.LocallyWeightedPolynomial

Creates a plot of an object created by locally.weighted.polynomial.
Arkansas

Time Series of Macroinvertabrates Abundance in the Arkansas River.
piecewise.linear

Creates a piecewise linear model
as.data.frame.SiZer

Coerce SiZer object to a Data Frame
logLik.bent_cable

Return the log-Likelihood value for a fitted bent-cable model.
ggplot_SiZer

Plot a SiZer map using `ggplot2`
predict.PiecewiseLinear

Calculates predicted values from a piecewise linear object
print.PiecewiseLinear

Prints out the model form for a Piecewise linear model
locally.weighted.polynomial

Smoothes the given bivariate data using kernel regression.
predict.bent_cable

Return model predictions for fitted bent-cable model
plot.SiZer

Plot a SiZer map Plot a SiZer object that was created using SiZer()
plot.PiecewiseLinear

Plots a piecewise linear model