Title: Analysis of Physiologically Structured Population Models
Authors@R: c(person("Andre M.", "de Roos", email = "A.M.deRoos@uva.nl", role = c("aut", "cre")),
person("Ernst", "Hairer", email = "Ernst.Hairer@unige.ch", role = "ctb"),
person("Gerhard", "Wanner", email = "Gerhard.Wanner@unige.ch", role = "ctb"))
Description: Performs demographic, bifurcation and evolutionary analysis of physiologically structured population models, which is a class of models that consistently translates continuous-time models of individual life history to the population level.
A model of individual life history has to be implemented specifying the individual-level functions that determine the life history, such as development and mortality rates and fecundity.
M.A. Kirkilionis, O. Diekmann, B. Lisser, M. Nool, B. Sommeijer & A.M. de Roos (2001) <doi:10.1142/S0218202501001264>.
Maintainer: Andre M. de Roos <A.M.deRoos@uva.nl>

Imports: rstudioapi (>= 0.10), pkgbuild (>= 1.0)

Imports: rstudioapi (>= 0.11), pkgbuild (>= 1.1)

Title: Power and Sample Size for Health Researchers
person(given = "Hospital de Clínicas de Porto Alegre",
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,
shinyhelper, tidyverse, TrialSize, WebPower, writexl
Author: Rogério Borges [aut, cre] (<https://orcid.org/0000-0002-2548-1889>),
Hospital de Clínicas de Porto Alegre [fnd]