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_cf
fabletools::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_lm
classical_decomposition
, STL