Package: complmrob 0.7.0
David Kepplinger
complmrob: Robust Linear Regression with Compositional Data as Covariates
Robust regression methods for compositional data. The distribution of the estimates can be approximated with various bootstrap methods. These bootstrap methods are available for the compositional as well as for standard robust regression estimates. This allows for direct comparison between them.
Authors:
complmrob_0.7.0.tar.gz
complmrob_0.7.0.zip(r-4.5)complmrob_0.7.0.zip(r-4.4)complmrob_0.7.0.zip(r-4.3)
complmrob_0.7.0.tgz(r-4.4-any)complmrob_0.7.0.tgz(r-4.3-any)
complmrob_0.7.0.tar.gz(r-4.5-noble)complmrob_0.7.0.tar.gz(r-4.4-noble)
complmrob_0.7.0.tgz(r-4.4-emscripten)complmrob_0.7.0.tgz(r-4.3-emscripten)
complmrob.pdf |complmrob.html✨
complmrob/json (API)
# Install 'complmrob' in R: |
install.packages('complmrob', repos = c('https://dakep.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dakep/complmrob/issues
Last updated 5 years agofrom:c904ac453c. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 03 2024 |
R-4.5-win | NOTE | Nov 03 2024 |
R-4.5-linux | NOTE | Nov 03 2024 |
R-4.4-win | OK | Nov 03 2024 |
R-4.4-mac | OK | Nov 03 2024 |
R-4.3-win | OK | Nov 03 2024 |
R-4.3-mac | OK | Nov 03 2024 |
Exports:bootcoefscomplmrobisomLRisomLRinv
Dependencies:bootclicolorspaceDEoptimRfansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangrobustbasescalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bootstrap the regression coefficients for a robust linear regression model | bootcoefs bootcoefs.complmrob bootcoefs.lmrob |
Bootstrap statistics functions | bootStat-methods bootStatCases bootStatFast bootStatFastControl bootStatResiduals |
MM-type estimators for linear regression on compositional data | complmrob |
Calculate confidence intervals | confint.bccomplmrob confint.bclmrob |
Simple function (just copied from the stats package) to format percentages | format.perc |
(Inverse) Isometric log-ratio transformation for compositional data | isomLR isomLRinv |
Plot the distribution of the bootstrap estimates | plot.bootcoefs |
Diagnostic plots for the robust regression model with compositional covariates | plot.complmrob |
Print the object | print-methods print.bootcoefs print.complmrob |
Print the summary information | print.summary.complmrob |
Get summary information | summary-methods summary.bccomplmrob summary.bclmrob summary.complmrob |