Title: Implementation of Logistic Box-Cox Regression
person("Li", "Xing", email="sfulxing@gmail.com", role=c("cre", "aut")),
Description: Implements a logistic box-cox model. This model is fully described in Xing, L. et al. (2021) <doi:10.1002/cjs.11587>.
Imports: survey, maxLik, doParallel, parallel, foreach

Imports: survey, maxLik, doParallel, foreach, MASS

Title: Log-Binomial Regression with Constrained Optimization
Description: Maximum likelihood estimation of log-binomial regression with special functionality when the MLE is on (or close to) the boundary of the parameter space.
Author: Mateus Carbone Ananias and Bernardo B. Andrade

Author: Bernardo B. Andrade and Mateus Carbone Ananias

Description: Maximum likelihood estimation of log-binomial regression with special functionality when the MLE is on the boundary of the parameter space.

Description: Provides Shiny widgets and theme that support a 'Library Computer Access/Retrieval System' (LCARS) aesthetic for Shiny apps.
The package also includes functions for adding a minimal LCARS theme to static 'ggplot2' graphs.
More details about LCARS can be found at <https://en.wikipedia.org/wiki/LCARS>.
Imports: grid, ggplot2, shiny, trekcolors
Suggests: testthat, knitr, rmarkdown, covr, png, ggrepel, showtext

Suggests: testthat, knitr, rmarkdown, covr, png, ggrepel, showtext,

Authors@R: c(person("Thiago", "de Paula Oliveira", role=c("aut", "cre"), email = "thiago.paula.oliveira@usp.br"), person("Rafael","de Andrade Moral", role="aut"), person( "John","Hinde",role="aut"), person("Silvio", "Sandoval Zocchi",  role="ctb"), person("Clarice", "Garcia Borges Demetrio", role="ctb"))
Author: Thiago de Paula Oliveira [aut, cre],
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@usp.br>
Description: Estimates the longitudinal concordance correlation to access the longitudinal agreement profile. The estimation approach implemented is variance components approach based on polynomial mixed effects regression model, as proposed by Oliveira, Hinde and Zocchi (2018) <doi:10.1007/s13253-018-0321-1>.  In addition, non-parametric confidence intervals were implemented using percentile method or normal-approximation  based on Fisher Z-transformation.
Suggests: roxygen2 (>= 3.0.0), covr, testthat