Changes in version 1.2.1                        

  - Default argument for p_select in hystar_fit() now shows all four
    options. The new default is p_select = c("bic", "aic", "aicc",
    "aiccp"), and the first option "bic" is taken when the user doesn't
    provide the argument.

  - Not necessary to provide all regime names and colors, can all be
    specified separately

  - Added call to hystar_sim and hystar_fit objects. Call now also
    printed in print method.

  - The user-feedback about the progress is now not shown by default,
    but can be requested by setting the show_progress argument in
    hystar_fit() to TRUE. This is because knitr did not handle the
    appendLF = FALSE argument (ensuring progress gets printed on the
    same line each iteration, and not on a new line) of the
    message()-function well (that prints the progress-feedback); as a
    result, the print of hystar_fit() in my example on github and on the
    website was veeery long.

  - Added a welcome message with a logo and first directions for help.

  - Added user-feedback about the progress of the estimation when
    running hystar_fit()

  - Added the change-point information criterion

                        Changes in version 1.2.0                        

  - More options to customize the graphs from the plot()-method for
    R-objects of class hystar_fit and hystar_sim:
    
      - the colors of the background and lines
    
      - line types and widths of z, y and the thresholds

  - More default arguments in z_sim: n_t = 100 and n_switches = 2. Now,
    all arguments have a default, which allows you to create examples
    faster.

  - More default arguments in hystar_sim: r = c(-0.5, 0.5), d = 0,
    phi_R0 = c(0, 0.5) and phi_R1 = c(2, 0.5). Now, the only necessary
    argument is z.

                        Changes in version 1.1.0                        

  - Fixed a mistake in the estimation of the asymptotic standard error.
    I noticed this during simulations, where some confidence interval
    coverage rates were strikingly low. All is fine now!

                 Changes in version 1.0.0 (2023-07-05)                  

  - First CRAN release!