Nothing
stsc()
function.stsc
and dsc
objects: summary.stsc_obj
and summary.dsc_obj
for generating plots showing the evolution of the tuning parameter, as well as standard accuracy metrics such as Mean-Squared-Error, Continuous-Ranked-Probability-Score, and Predictive-Log-Likelihood-Score.bias
for stsc()
and tvc
, allowing users to decide whether bias correction should be applied to the F-Signals in the TVC-models.incl
for stsc()
and dsc
, enabling users to specify whether certain signals are required to be included in the subsets.dsc()
.burn_in_tvc
to burn_in
and sample_length
to init
.risk_aversion
, min_weight
, and max_weight
into portfolio_arguments
.stsc()
method.delta
in the second step of the stsc()
method now already applies to the most recent predictive likelihood score in t-1, as stated in Equation (13) in Adaemmer et al. (2023). Previously, the score in t-1 was given a weight of 1.0stsc()
to decide whether the subset combinations in the second step of the method should be combined with equal weights (as proposed in Adaemmer et al. (2023)) or with weights derived from the predictive log-likelihood scores.stsc()
to directly apply the STSC-algorithm from Adaemmer, Lehmann and Schuessler (2023). This function is faster and more memory efficient than subsequently applying tvc()
and dsc()
as it is now completely written in Rcpp.NEWS.md
file to track changes to the package.Any scripts or data that you put into this service are public.
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