Description: Write blog posts and web pages in R Markdown. This package
supports the static site generator 'Hugo' (<https://gohugo.io>) best,
and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo'
Imports: bookdown (>= 0.22), htmltools, httpuv (>= 1.4.0), jsonlite,
Suggests: miniUI, processx, rstudioapi, shiny, stringr, testit, tools,

Imports: rmarkdown (>= 2.6), bookdown (>= 0.22), knitr (>= 1.25),

Imports: rmarkdown (>= 2.8), bookdown (>= 0.22), knitr (>= 1.25),

Title: Tools for Developing Binary Logistic Regression Models
Authors@R: person("Aravind", "Hebbali", email = "hebbali.aravind@gmail.com", role = c("aut", "cre"))
Description: Tools designed to make it easier for beginner and intermediate users to build and validate
binary logistic regression models. Includes bivariate analysis, comprehensive regression output,
model fit statistics, variable selection procedures, model validation techniques and a 'shiny'
Imports: car, caret, checkmate, cli, clisymbols, crayon, descriptr,
dplyr, e1071, ggplot2, glue, gridExtra, magrittr, purrr, Rcpp,
rlang, scales, shiny, stats, tibble, utils
Suggests: covr, grid, ineq, jsonlite, lubridate, knitr, readr, readxl,
rmarkdown, shinyBS, shinythemes, stringr, tools, testthat,

Authors@R: person("Aravind", "Hebbali", email = "hebbali.aravind@gmail.com", role = c("aut", "cre"),
Imports: car, caret, checkmate, cli, clisymbols, crayon, dplyr, e1071,
ggplot2, glue, gridExtra, magrittr, purrr, Rcpp, rlang, scales,
Suggests: covr, descriptr, grid, ineq, jsonlite, lubridate, knitr,
readr, readxl, rmarkdown, shinyBS, shinythemes, stringr, tools,
Author: Aravind Hebbali [aut, cre] (<https://orcid.org/0000-0001-9220-9669>)

readr, readxl, rmarkdown, shinyBS, shinythemes, stringr,

ggplot2, gridExtra, magrittr, purrr, Rcpp, rlang, scales,
Suggests: covr, grid, ineq, knitr, rmarkdown, testthat, vdiffr

Imports: car, data.table, ggplot2, gridExtra, lest, Rcpp, stats, utils
Suggests: covr, grid, ineq, knitr, magrittr, rmarkdown, testthat,

Title: Constrained optimization via stochastic gradient descent.
Description: Optimize a function with constraints via a transformation of the
Imports: ggplot2, grid, foreach, iterators