Package: PSS.Health 1.1.4

Rogério Boff Borges

PSS.Health: Power and Sample Size for Health Researchers via Shiny

Power and Sample Size for Health Researchers is a Shiny application that brings together a series of functions related to sample size and power calculations for common analysis in the healthcare field. There are functionalities to calculate the power, sample size to estimate or test hypotheses for means and proportions (including test for correlated groups, equivalence, non-inferiority and superiority), association, correlations coefficients, regression coefficients (linear, logistic, gamma, and Cox), linear mixed model, Cronbach's alpha, interobserver agreement, intraclass correlation coefficients, limit of agreement on Bland-Altman plots, area under the curve, sensitivity and specificity incorporating the prevalence of disease. You can also use the online version at <https://hcpa-unidade-bioestatistica.shinyapps.io/PSS_Health/>.

Authors:Rogério Boff Borges [aut, cre], Guilherme Serpa Azambuja [aut], Aline Castello Branco Mancuso [aut], Vanessa Bielefeldt Leotti [aut], Vânia Naomi Hirakata [aut], Suzi Alves Camey [aut], Stela Maris de Jezus Castro [aut], Gustavo Thomas [aut], Hospital de Clínicas de Porto Alegre [fnd]

PSS.Health_1.1.4.tar.gz
PSS.Health_1.1.4.tar.gz(r-4.5-noble)PSS.Health_1.1.4.tar.gz(r-4.4-noble)
PSS.Health_1.1.4.tgz(r-4.4-emscripten)PSS.Health_1.1.4.tgz(r-4.3-emscripten)
PSS.Health.pdf |PSS.Health.html
PSS.Health/json (API)

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

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 scripts 354 downloads 1 exports 133 dependencies

Last updated 2 months agofrom:06fbebb7ff. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 20 2025
R-4.5-linuxNOTEJan 20 2025

Exports:PSS_Health

Dependencies:askpassbase64encBiasedUrnbootbslibcachemclassclassIntclicolorspacecommonmarkcpp11crayoncrosstalkcurldata.tableDBIdigestdplyrDTe1071easypowerEnvStatsepiRevaluatefansifarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverfsgdtoolsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttrICC.Sample.SizeisobandjquerylibjsonlitekappaSizeKernSmoothknitrlabelinglaterlatticelazyevallifecyclelme4longpowerlubridatemagrittrmarkdownMASSMatrixmemoisemgcvmimeminqamunsellnlmenloptrnortestofficeropensslpanderpillarpkgconfigplotlyplyrpowerMediationpowerSurvEpipracmapresizepROCpromisesproxypurrrpwrpwr2R6raggrappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrmarkdowns2sassscalessfshinyshinycssloadersshinyFeedbackshinyhelpersourcetoolsstringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttimechangetinytexunitsutf8uuidvctrsviridisLitewithrwkwritexlxfunxml2xtableyamlzipzoo

PSS Health publications

Rendered fromVignettes.Rmdusingknitr::rmarkdownon Jan 20 2025.

Last update: 2023-06-16
Started: 2022-03-29