Title: Diagnostic Tools for a Multivariate Negative Binomial Model
Authors@R: c(person("Jalmar", "Carrasco", role = c("aut", "cre"),
person("Cristian", "Lobos", role = "aut"),
person("Lizandra", "Fabio", role = "aut"))
Description: Diagnostic tools as residual analysis, global,
local and total-local influence for the multivariate model
from the random intercept Poisson generalized log gamma model
are available in this package. Including also, the estimation
process by maximum likelihood method, for details see
Fabio, L. F; Villegas, C. L.; Carrasco, J.M.F and de Castro, M. (2021)

Imports: flexsurv, numDeriv, graphics, methods,

Title: Interactive Shiny Presentation for Working with Multinomial
Description: An interactive presentation on  the topic of Multinomial Logistic Regression. It is helpful to those who want to learn Multinomial Logistic Regression quickly and get a hands on experience. The presentation has a template for solving problems on Multinomial Logistic Regression. Runtime examples are provided in the package function as well as at  <https://jarvisatharva.shinyapps.io/MultinomPresentation>.
Packaged: 2019-03-22 13:28:49 UTC; KARTIKEYA

Title: Simulated Predicted Probabilities for Multinomial Logit Models
Description: Functions to easily return simulated predicted probabilities and
first differences for multinomial logit models. It takes a specified
scenario and a multinomial model to predict probabilities with a set of
coefficients, drawn from a simulated sampling distribution. The simulated
predictions allow for meaningful plots with means and confidence intervals.
The methodological approach is based on the principles laid out by King,
Suggests: knitr, rmarkdown, testthat, foreign, nnet, magrittr, ggplot2,

Tomz, and Wittenberg (2000) <doi:10.2307/2669316> and Hanmer and Ozan Kalkan
Suggests: knitr, rmarkdown, testthat, nnet, magrittr, ggplot2, scales

Author: Manuel Neumann [aut, cre] (<https://orcid.org/0000-0002-7953-3939>)

Packaged: 2021-02-09 14:27:26 UTC; homeoffice

Packaged: 2021-03-04 09:34:08 UTC; homeoffice