R/pkgname.R

#' @title tvvarGAM
#'
#' @name tvvarGAM-package
#' @docType package
#' @aliases tvvarGAM-package
#'
#' @description With this package one can estimate time-varying vector
#' autoregressive models based on generalized additive models. It uses a
#' regression form, making it easy to use. At the moment it can only handle
#' gradual smooth change of both the intercept and the vector autoregressive
#' parameters.
#'
#' Laura and Jonas: This is the front page of the package on the Help tab.
#' Please provide some details, including formulas and refs if you will,
#' laying out the contents of the package.
#'
#' Versions:
#' \itemize{
#' \item Version 0.2.0 (April 2020)\cr
#' The code was overall optimized. Plot and summary methods for objects of
#' class 'tvvarGAM' were created.
#' \item Version 0.1.1 (January 2019 ?????)\cr
#' Laura: Briefly mention what this version of the package offered.
#' }
#'
#' @details
#' \tabular{ll}{
#' Package: \tab tvvarGAM\cr
#' Type: \tab Package\cr
#' Version: \tab 0.2.0\cr
#' Date: \tab 2020-04-04\cr
#' License: \tab GPL Version 2 or later\cr }
#'
#' The \pkg{tvvarGAM} package contains useful functions, summarized below:
#' \itemize{
#' \item \code{\link{tvvarGAM}}: xxx
#' \item \code{\link{tvvarDATA}}: xxx
#' \item \code{\link{tvvarSIM}}: xxx
#' \item Available methods for objects of class "tvvarGAM":
#' \tabular{l}{
#' plot() \cr
#' print() \cr
#' summary() \cr
#' } }
#'
#' @references
#' \insertRef{RobertsLaughlin1996}{tvvarGAM}
#'
#' \insertRef{Robertsetal2000}{tvvarGAM}
#'
#'
#' @examples
#' # Example 1 - xxx
#'
#' # Example 2 - xxx
#'
"_PACKAGE"
#> [1] "_PACKAGE"
#'
LauraBringmann/tvvarGAM documentation built on Sept. 2, 2023, 5:08 p.m.