About"

In GMCM: Fast Estimation of Gaussian Mixture Copula Models

knitr::opts_chunk$set(echo = TRUE)
library("shiny")

About

This is the shiny web-application accompanying the GMCM package[1] for R. The application is developed and maintained by Anders Ellern Bilgrau. You can read more about the underlying methods employed for unsupervised clustering here and here and the references therein.

Availability

Online documentation for the package can be found at

http://aebilgrau.github.io/GMCM

The application is available online at

https://gmcm.shinyapps.io

The application can also be available as a local instance on your own machine via the GMCM package. To run the application locally, make sure GMCM is installed and run

GMCM::runGMCM()

to start a local shiny server. More information on installing GMCM and the prerequisites is found at CRAN or the repository at GitHub.

This instance is running GMCM version r packageVersion("GMCM").

Citation

If you use the web-application or GMCM package itself, please cite the reference below.

cat("1. ")
print(citation("GMCM"), style = "text")

In R you can run citation("GMCM") to get a copy-friendly BibTeX format.

---

cat(
as.character(
  shiny::withTags(
    div(
      align = "center", 
      "Anders Ellern Bilgrau",
      HTML("—"),
      a(href = "https://github.com/AEBilgrau/GMCM", padding = "10px",
        shiny::icon("github")),
      a(href = "https://stackoverflow.com/users/1568306/anders-ellern-bilgrau", 
        shiny::icon("stack-overflow")),
      a(href = "https://scholar.google.dk/citations?user=zQNl61YAAAAJ&hl=en", 
        shiny::icon("google")),
      a(href = "https://www.linkedin.com/in/aebilgrau/", 
        shiny::icon("linkedin")),
      HTML("—"),
      "2019"
    )
  )
))

GMCM documentation built on Nov. 6, 2019, 1:08 a.m.