Package: PSS.Health
Type: Package
Title: Power and Sample Size for Health Researchers
Version: 0.1.4
Date: 2020-11-06
Language: pt
Authors@R: c(person(given = "Rogério",
                    family = "Borges",
                    role = c("aut", "cre"),
                    email = "roborges@hcpa.edu.br",
                    comment = c(ORCID = "orcid.org/0000-0002-2548-1889")),
          person(given = "Guilherme",
                    family = "Azambuja",
                    role = c("aut"),
                    email = "gsazambuja@gmail.com",
                    comment = c(ORCID = "orcid.org/0000-0001-6246-4538")),
          person(given = "Aline",
                    family = "Mancuso",
                    role = c("aut"),
                    email = "amancuso@hcpa.edu.br",
                    comment = c(ORCID = "orcid.org/0000-0001-6033-8335")),
          person(given = "Vanessa",
                    family = "Leotti",
                    role = c("aut"),
                    email = "vleotti@hcpa.edu.br",
                    comment = c(ORCID = "orcid.org/0000-0003-3860-9367")),
          person(given = "Vânia",
                    family = "Hirakata",
                    role = c("aut"),
                    email = "vhirakata@hcpa.edu.br",
                    comment = c(ORCID = "orcid.org/0000-0003-4645-2080")),
          person(given = "Suzi",
                    family = "Camey",
                    role = c("aut"),
                    email = "scamey@hcpa.edu.br",
                    comment = c(ORCID = "orcid.org/0000-0002-5564-081X")),
          person(given = "Stela",
                    family = "Castro",
                    role = c("aut"),
                    email = "stelacastro@hcpa.edu.br",
                    comment = c(ORCID = "orcid.org/0000-0001-5862-6709")),
          person(given = "Hospital de Clínicas de Porto Alegre",
                    role = c("fnd"))
          )
Description: 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 sample size to estimate or test hypotheses for means, 
    proportions, association, Pearson's correlation coefficient, regression coefficients 
    (linear, logistic and Cox), 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.
Imports: DT, easypower, EnvStats, ICC.Sample.Size, kappaSize, MESS,
        plotly, powerMediation, powerSurvEpi, presize, pROC, pwr, pwr2,
        shiny, shinycssloaders, shinyFeedback, shinythemes,
        shinyhelper, tidyverse, TrialSize, WebPower, writexl
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.1.0
Contact: 'mailto:l-bioestatistica@hcpa.edu.br'
NeedsCompilation: no
Packaged: 2020-11-08 23:09:38 UTC; roger
Author: Rogério Borges [aut, cre] (<https://orcid.org/0000-0002-2548-1889>),
  Guilherme Azambuja [aut] (<https://orcid.org/0000-0001-6246-4538>),
  Aline Mancuso [aut] (<https://orcid.org/0000-0001-6033-8335>),
  Vanessa Leotti [aut] (<https://orcid.org/0000-0003-3860-9367>),
  Vânia Hirakata [aut] (<https://orcid.org/0000-0003-4645-2080>),
  Suzi Camey [aut] (<https://orcid.org/0000-0002-5564-081X>),
  Stela Castro [aut] (<https://orcid.org/0000-0001-5862-6709>),
  Hospital de Clínicas de Porto Alegre [fnd]
Maintainer: Rogério Borges <roborges@hcpa.edu.br>
Repository: CRAN
Date/Publication: 2020-11-12 18:40:03 UTC
