Skip to content

Releases: lehmasve/hdflex

hdflex 0.3.2

13 Oct 14:58
e2b2e1c

Choose a tag to compare

  • Replaced deprecated arma::is_finite(val) with std::isfinite(val)
  • Replaced deprecated ggplot2::is.ggplot(plot) with ggplot2::is_ggplot(plot)

hdflex 0.3.0

07 Oct 16:18
7bd316d

Choose a tag to compare

  • Enhanced parallelization using RcppThreads for the stsc() function.
  • Improved (computational) performance
  • Added S3 class method for 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.
  • Introduction of the new argument bias for stsc() and tvc, allowing users to decide whether bias correction should be applied to the F-Signals in the TVC-models.
  • Addition of the new argument incl for stsc() and dsc, enabling users to specify whether certain signals are required to be included in the subsets.
  • Improved internal structure and performance for dsc().
  • Renamed the argument burn_in_tvc to burn_in and sample_length to init.
  • Consolidated the arguments risk_aversion, min_weight, and max_weight into portfolio_arguments.

hdflex 0.2.1

05 Apr 13:11
c5fdd4b

Choose a tag to compare

  • Fixed a bug in the computation of the time-varying coefficients in the first step of the stsc() method.
  • The forgetting factor 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 1.0
  • Added a new argument to stsc() 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.

hdflex 0.2.0

31 Oct 14:06
25d0064

Choose a tag to compare

  • Added the function 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.
  • Fixed the package overview help file.
  • Updated documentation.
  • Updated example.

hdflex 0.1.0

15 Jun 13:21
84ecd0d

Choose a tag to compare

CRAN release.