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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SiZer.pdf |SiZer.html✨
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:

4.97 score 1 stars 2 packages 31 scripts 462 downloads 28 mentions 5 exports 37 dependencies

Last updated 2 years agofrom:7031963051. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 14 2024
R-4.5-win	NOTE	Nov 14 2024
R-4.5-linux	NOTE	Nov 14 2024
R-4.4-win	NOTE	Nov 14 2024
R-4.4-mac	NOTE	Nov 14 2024
R-4.3-win	NOTE	Nov 14 2024
R-4.3-mac	NOTE	Nov 14 2024

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

Dependencies:boot cli colorspace cpp11 dplyr fansi farver generics ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig purrr R6 RColorBrewer rlang 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