R/residualsfun.R
residuals_matrix.RdArrange temporal and cross-temporal residuals in a matrix form
residuals_matrix(res, m)(\(n \times N(k^\ast + m)\)) matrix or (\(N(k^\ast + m)\)) vector containing the residuals at all the temporal frequencies ordered [lowest_freq' ... highest_freq']'.
Highest available sampling frequency per seasonal cycle (max. order of temporal aggregation, \(m\)), or a subset of \(p\) factors of \(m\).
a (\(N \times n(k^\ast + m)\)) matrix (if the input res is a vector then \(n = 1\))
Other utilities:
Cmatrix(),
FoReco2ts(),
agg_ts(),
arrange_hres(),
commat(),
ctf_tools(),
hts_tools(),
lcmat(),
oct_bounds(),
score_index(),
shrink_estim(),
thf_tools()
data(FoReco_data)
mat <- residuals_matrix(FoReco_data$res, m = 12)