Package: univariateML 1.5.0

univariateML: Maximum Likelihood Estimation for Univariate Densities
User-friendly maximum likelihood estimation (Fisher (1921) <doi:10.1098/rsta.1922.0009>) of univariate densities.
Authors:
univariateML_1.5.0.tar.gz
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univariateML_1.5.0.tgz(r-4.5-any)univariateML_1.5.0.tgz(r-4.4-any)univariateML_1.5.0.tgz(r-4.3-any)
univariateML_1.5.0.tar.gz(r-4.5-noble)univariateML_1.5.0.tar.gz(r-4.4-noble)
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univariateML.pdf |univariateML.html✨
univariateML/json (API)
# Install 'univariateML' in R: |
install.packages('univariateML', repos = c('https://jonasmoss.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jonasmoss/univariateml/issues
Pkgdown site:https://jonasmoss.github.io
densityestimationmaximum-likelihood
Last updated 11 days agofrom:c0b9949bbc. Checks:7 OK, 2 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 03 2025 |
R-4.5-win | NOTE | Mar 03 2025 |
R-4.5-mac | OK | Mar 03 2025 |
R-4.5-linux | NOTE | Mar 03 2025 |
R-4.4-win | OK | Mar 03 2025 |
R-4.4-mac | OK | Mar 03 2025 |
R-4.4-linux | OK | Mar 03 2025 |
R-4.3-win | OK | Mar 03 2025 |
R-4.3-mac | OK | Mar 03 2025 |
Exports:bootstrapmldmlmlbetamlbetaprmlbinommlburrmlcauchymldunifmlexpmlfatiguemlgammamlgedmlgeommlgompertzmlgumbelmlinvburrmlinvgammamlinvgaussmlinvweibullmlkumarmllaplacemllgammamllgsermlllogismllnormmllogismllogitnormmllomaxmlnakamlnbinommlnormmlparalogismlparetomlpoismlpowermlrayleighmlsgedmlsnormmlsstdmlstdmlunifmlweibullmlzipmlzipfmodel_selectpmlppmllineppmlplotppmlpointsqmlqqmllineqqmlplotqqmlpointsrmlunivariateML_metadataunivariateML_models
Dependencies:actuarassertthatbbmlebdsmatrixclicvarexpintextraDistrfansifastICAfBasicsfGarchgbutilsgluegssGUILDSintervalslatticelifecyclelogitnormmagrittrMASSMatrixmvtnormnakagaminloptrnumDerivpillarpkgconfigpoilogpoweRlawpracmarbibutilsRcppRcppArmadilloRcppParallelRdpackRfastrlangsadsspatialstabledisttibbletimeDatetimeSeriesutf8vctrsVGAMzigg
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on Mar 03 2025.Last update: 2025-03-03
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Distributions
Rendered fromdistributions.Rmd
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Overview of univariateML
Rendered fromoverview.Rmd
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