funcharts v1.3.0

• all basis function systems that can be used in the fda package now can be used also with funcharts, which previously it could be used only with B-spline basis.
  In particular, Fourier, exponential, monomial, polygonal, power and constant basis function systems are available.
• get_outliers_mfd() allows to find outliers among multivariate functional data using the functional boxplot through the fbplot() function of the roahd package.
• test coverage has been increased
• control_charts_sof() and control_charts_sof_real_time() have been deprecated.
  Instead, use regr_cc_sof() and regr_cc_sof_real_time(), respectively, with argument include_covariates = TRUE.
  This has been done to make more consistent the regression control chart functions for the scalar (regr_cc_sof() and regr_cc_sof_real_time()) and functional (regr_cc_fof() and regr_cc_fof_real_time()) response cases.
• alpha parameter in all control charting functions, which previously could only be a list with manually specified values of the type-I error probability in each control chart, now can also be a single number between 0 and 1. In this case, Bonferroni correction is automatically applied to take into account the multiplicity problem when more than one control chart is applied.
• plot_bifd() now allows to choose to produce also contour or perspective plots of bifd objects.
• simulate_mfd() is much more general, now it allows to simulate as many covariates as one wants (before the number was fixed to three), it is possible to provide manually the mean and variance function for each variable, it is possible to select the type of correlation function for each variable.
• plot_mfd() now relies on patchwork, while the new function lines_mfd() allows to add new curve to an existing plot.