Package: eDMA 1.5-3

Leopoldo Catania

eDMA: Dynamic Model Averaging with Grid Search

Perform dynamic model averaging with grid search as in Dangl and Halling (2012) <doi:10.1016/j.jfineco.2012.04.003> using parallel computing.

Authors:Leopoldo Catania [aut,cre], Nima Nonejad [aut]

eDMA_1.5-3.tar.gz
eDMA_1.5-3.tar.gz(r-4.5-noble)eDMA_1.5-3.tar.gz(r-4.4-noble)
eDMA_1.5-3.tgz(r-4.4-emscripten)eDMA_1.5-3.tgz(r-4.3-emscripten)
eDMA.pdf |eDMA.html
eDMA/json (API)

# Install 'eDMA' in R:
install.packages('eDMA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • SimData - Data: Simulated data from DLM of West and Harrison (1999).
  • USData - Data: Quarterly US inflation and associated predictors
  • USRecessions - Data: Dates of U.S. recessions as inferred by GDP-based recession indicator (JHDUSRGDPBR).

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.90 score 16 scripts 197 downloads 14 exports 5 dependencies

Last updated 6 years agofrom:293d302957. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 23 2024
R-4.5-linux-x86_64NOTEOct 23 2024

Exports:as.data.frameBacktestDMAcoefDMAgetLastForecastinclusion.probLagplotPowerSetpred.likeresidualsshowSimulateDLMsummary

Dependencies:latticeRcppRcppArmadilloxtszoo