Minor patch to resolve upstream check issues introduced by dplyr v1.0.0 and tsibble v0.9.0.
polar = TRUE in gg_season().ACF().feat_spectral() to use stats::spec.ar() instead of ForeCA::spectral_entropy(). Note that the feature value will be slightly different due to use of a different spectral estimator, and the fix of a bug in ForeCA.feat_stl().gg_lag() have been reversed for consistency with stats::lag.plot().feat_intermittent()gg_tsdisplay() not working with plotting expressions of data.gg_subseries() erroring when certain column names are used (#95).STL() specials.var_tiled_var() no longer includes partial tile windows in the computation.feat_stl().components(). For example, tourism %>% STL(Trips) is now tourism %>% model(STL(Trips)) %>% components(). This change allows for more flexible decomposition specifications, and better interfaces for decomposition modelling.feat_spectral() not showing results.ACF(), PACF() and CCF() for tidyr change.gg_tsdisplay() will no longer fail on non-seasonal data with missing values. The last plot will instead show a PACF in this case (#76)stat_arch_lm() (#85)gg_season, gg_subseries, gg_lag, gg_tsdisplay, gg_tsresiduals, gg_arma.ACF, PACF, CCF, and autoplot.tbl_cffabletools::features(): feat_stl, feat_acf, feat_pacf, guerrero, unitroot_kpss, unitroot_pp, unitroot_ndiffs, unitroot_nsdiffs, box_pierce, ljung_box, var_tiled_var, var_tiled_mean, shift_level_max, shift_var_max, shift_kl_max, feat_spectral, n_crossing_points, n_flat_spots, coef_hurst, stat_arch_lmclassical_decomposition, STL