Package: SiZer 0.1-8

SiZer: Significant Zero Crossings

Calculates and plots the SiZer map for scatterplot data. A SiZer map is a way of examining when the p-th derivative of a scatterplot-smoother is significantly negative, possibly zero or significantly positive across a range of smoothing bandwidths.

Authors:Derek Sonderegger [aut, cre]

SiZer_0.1-8.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SiZer/json (API)

# Install 'SiZer' in R:

install.packages('SiZer', repos = c('https://dereksonderegger.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dereksonderegger/sizer/issues

Datasets:

Arkansas - Time Series of Macroinvertabrates Abundance in the Arkansas River.

On CRAN:

5.12 score 1 stars 2 packages 44 scripts 382 downloads 28 mentions 5 exports 30 dependencies

Last updated from:7031963051. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	173
source / vignettes	OK	185
linux-release-x86_64	NOTE	120
macos-release-arm64	NOTE	158
macos-oldrel-arm64	NOTE	162
windows-devel	NOTE	68
windows-release	NOTE	67
windows-oldrel	NOTE	72
wasm-release	OK	104

Exports:bent.cable ggplot_SiZer locally.weighted.polynomial piecewise.linear SiZer

Dependencies:boot cli cpp11 dplyr farver generics ggplot2 glue gtable isoband labeling lifecycle magrittr pillar pkgconfig purrr R6 RColorBrewer rlang S7 scales stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Time Series of Macroinvertabrates Abundance in the Arkansas River.	Arkansas
Coerce SiZer object to a Data Frame	as.data.frame.SiZer
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.	bent.cable
Plot a SiZer map using `ggplot2`	ggplot_SiZer
Smoothes the given bivariate data using kernel regression.	locally.weighted.polynomial
Return the log-Likelihood value for a fitted bent-cable model.	logLik.bent_cable
Calculates the log-Likelihood value	logLik.PiecewiseLinear
Creates a piecewise linear model	piecewise.linear
Creates a plot of an object created by 'locally.weighted.polynomial'.	plot.LocallyWeightedPolynomial
Plots a piecewise linear model	plot.PiecewiseLinear
Plot a SiZer map Plot a 'SiZer' object that was created using 'SiZer()'	plot.SiZer
Return model predictions for fitted bent-cable model	predict.bent_cable
Calculates predicted values from a piecewise linear object	predict.PiecewiseLinear
Prints out the model form for a Piecewise linear model	print.PiecewiseLinear
Calculate SiZer Map	SiZer