Nothing
boot_cs()
, boot_te()
and boot_ct()
to draw samples from, respectively, cross-sectional, temporal and cross-temporal joint (block) bootstrap.ctbu()
inputs;FoReco2matrix()
to trasform FoReco forecasts input and output in a list of matrix/vector class;agg_ts()
: non-overlapping temporal aggregation of a time series according to a specific aggregation order.arrange_hres()
and residuals_matrix()
functions to arrange residuals for the covariance matrix under Gaussianity;octrec()
;lcmat()
function.htsrec()
;score_index()
;bounds
param when type = "S"
in htsrec()
, thfrec()
and octrec()
;v
param in htsrec()
, thfrec()
and octrec()
- experimental;ut2c()
and srref()
.lccrec()
(now the function returns the Level Conditional Coherent or the Combined Conditional Coherent forecasts);keep = "list"
.htsrec()
, thfrec()
and octrec()
to introduce a list of h covariance matrices in the parameters W
and Omega
, where h stands for the forecast horizon (note that for thfrec()
and octrec()
this is the forecast horizon of the entire cycle);Sstruc
is no more avaible in octrec()
and ctf_tools()
. FoReco uses a fast algorithm to compute Scheck, so no external input is needed;ctf_tools()
(added Ccheck
, Htcheck
, Scheck
, removed Cstruc
, Sstruc
), hts_tools()
(added C
) and thf_tools()
(added m
);nn_type
) in htsrec()
, thfrec()
and octrec()
;tdrec()
;levrec()
(cross-sectional, temporal and cross-temporal).octrec()
it is also possible to introduce the Ω covariance matrix variant through the Omega
parameter and not only the W variant with the W
parameter;tcsrec()
, cstrec()
and iterec()
. In the iterec()
function the maxit
parameter has been replaced by itmax
, however for the moment maxit
is still supported;iterec()
(norm
parameter).bounds
param in htsrec()
, thfrec()
and octrec()
;oct_bounds()
to organize the bounds on a specific dimension (i.e. only cross-sectional or only temporal) in a cross-temporal framework;ut2c()
and srref()
to develop a cross-sectional structural representation starting from a zero constraints kernel matrix;score_index()
the calculation of multiple forecast horizons index (like 1:6) and multiple cross-sectional levels for a forecasting experiment.Minore release, fixing some bugs and the documentation
iterec()
when calculating the incoherenceAverage relative accuracy indices
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