Package: millsratio 0.2.3

millsratio: Interactive Analysis of Mills Ratios and Tail Thickness

Compute and compare Mills ratios for normal, t, and exponential distributions. Explore the t(30) paradox where heavier tails produce larger Mills ratios despite near-normal density. Includes an interactive Shiny dashboard for visualising tail behaviour and hazard functions.

Authors:John Gavin [aut, cre]

millsratio_0.2.3.tar.gz
millsratio_0.2.3.zip(r-4.7-any)millsratio_0.2.3.zip(r-4.6-any)millsratio_0.2.3.zip(r-4.5-any)
millsratio_0.2.3.tgz(r-4.6-any)millsratio_0.2.3.tgz(r-4.5-any)
millsratio_0.2.3.tar.gz(r-4.7-any)millsratio_0.2.3.tar.gz(r-4.6-any)
millsratio_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
millsratio/json (API)

# Install 'millsratio' in R:
install.packages('millsratio', repos = c('https://johngavin.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/johngavin/millsratio/issues

Pkgdown/docs site:https://johngavin.github.io

On CRAN:

Conda:

2.40 score 25 exports 69 dependencies

Last updated from:02649c790b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK142
source / vignettesOK230
linux-releaseOK138
macos-releaseOK93
macos-oldrelOK91
windows-develOK82
windows-releaseOK83
windows-oldrelOK80
wasm-releaseOK118

Exports:analyze_t30_paradoxanalyze_tail_thicknesscompare_mills_hazardcompare_mills_ratiosdashboard_aboutfind_crossover_pointhazard_from_millshazard_functionhazard_propertieslaunch_dashboardlaunch_dashboard_no_browserlaunch_dashboard_simplemills_asymptoticmills_ratio_comparisonmills_ratio_expmills_ratio_genericmills_ratio_normalmills_ratio_tmonte_carlo_millsplot_mills_comparisonplot_mills_curvesplot_mills_vs_hazardplot_t30_paradoxplot_tail_thickness_heatmapsimulate_mills_curves

Dependencies:askpassbase64encbslibcachemclicommonmarkcpp11crosstalkcurldata.tabledigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclemagrittrmemoisemimeopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesshinysourcetoolsstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml

Readme and manuals

Help Manual

Help pageTopics
Generate Data for t(30) Paradox Analysisanalyze_t30_paradox
Analyze Tail Thickness at Specific Pointsanalyze_tail_thickness
Compare Mills Ratio and Hazard Functioncompare_mills_hazard
Compare Mills Ratios Across Distributionscompare_mills_ratios
Get Dashboard About Informationdashboard_about
Find Crossover Points Between Distributionsfind_crossover_point
Convert Mills Ratio to Hazard Functionhazard_from_mills
Calculate Hazard Function Directlyhazard_function
Hazard Function Calculationshazard_functions
Hazard Function Propertieshazard_properties
Launch Mills Ratio Interactive Dashboardlaunch_dashboard
Launch Dashboard Without Browserlaunch_dashboard_no_browser
Launch Simplified Dashboardlaunch_dashboard_simple
Calculate Asymptotic Approximation of Mills Ratiomills_asymptotic
Compute Ratio of Mills Ratiosmills_ratio_comparison
Compute Mills Ratio for Exponential Distributionmills_ratio_exp
Generic Mills Ratio Functionmills_ratio_generic
Mills Ratio Functions for Various Distributionsmills_ratio_normal
Compute Mills Ratio for Student's t Distributionmills_ratio_t
Monte Carlo Simulation for Mills Ratio Estimationmonte_carlo_mills
Plot Mills Ratio Comparisonplot_mills_comparison
Visualization Functions for Mills Ratio Analysisplot_mills_curves
Plot Mills Ratio vs Hazard Function Side-by-Sideplot_mills_vs_hazard
Plot t(30) Paradox Visualizationplot_t30_paradox
Plot Tail Thickness Heatmapplot_tail_thickness_heatmap
Simulation Framework for Mills Ratio Analysissimulate_mills_curves