In JobNmadu/Dyn4cast: Dynamic Modeling and Machine Learning Environment

knitr::opts_chunk$set(tidy      = "styler",
                      fig.align = "center",
                      comment   = NA,
                      warning   = FALSE,
                      error     = FALSE,
                      message   = FALSE,
                      collapse  = FALSE,
                      out.width = "100%",
                      dev = "ragg_png", #<- prevent default Windows device to
                      # render plots
                      dpi       = 132,
                      echo      = FALSE)

options(scipen = 999, digits = 2)
options(rmarkdown.html_vignette.check_title = FALSE)

Installation

Dyn4cast is not yet on CRAN, so only the development version is available. However, the package is very functional and stable and is actively being watched for any issue. Presently, it has passed all the tests it was subjected to as can be seen here.

Dyn4cast

To install the development version of Dyn4cast from GitHub, use the following canonical form:

# install.packages("devtools")
devtools::install_github("JobNmadu/Dyn4cast")

The development version can also be installed through r-universe. Use the form:

install.packages("Dyn4cast", repos = c("https://jobnmadu.r-universe.dev", "https://cloud.r-project.org"))

Suggested packages

A number of other packages are required for the smooth running of the package and may need to be installed if not already installed on your machine. Some of the packages are listed below:

install.packages(c("lubridate", "tidyverse", "xlsx", "readxl", "rmarkdown",
                   "covr", "qpdf", "caret", "kableExtra", "knitr", "spelling",
                   "psych", "lifecycle", "MetBrewer", "data.table"))