Package: ecod025ps1 0.1

ecod025ps1: ECOD025 - Problem Set 1 about VAR, FA-VAR and DFM models. Install this from the R-Universe.

Using armadillo4r for a straightforward implementation of an EM algorithm and the Kalman filter for DFM.

Authors:Mauricio Vargas Sepulveda [aut, cre]

ecod025ps1_0.1.tar.gz
ecod025ps1_0.1.zip(r-4.7)ecod025ps1_0.1.zip(r-4.6)ecod025ps1_0.1.zip(r-4.5)
ecod025ps1_0.1.tgz(r-4.6-x86_64)ecod025ps1_0.1.tgz(r-4.6-arm64)ecod025ps1_0.1.tgz(r-4.5-x86_64)ecod025ps1_0.1.tgz(r-4.5-arm64)
ecod025ps1_0.1.tar.gz(r-4.7-arm64)ecod025ps1_0.1.tar.gz(r-4.7-x86_64)ecod025ps1_0.1.tar.gz(r-4.6-arm64)ecod025ps1_0.1.tar.gz(r-4.6-x86_64)
ecod025ps1_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ecod025ps1/json (API)

# Install 'ecod025ps1' in R:
install.packages('ecod025ps1', repos = c('https://pachadotdev.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pachadotdev/ecod025/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

armadilloarmadillo4rmacroeconometricsopenblascppopenmp

2.00 score 1 scripts 3 exports 5 dependencies

Last updated from:c047f952c9 (on main). Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE155
linux-devel-x86_64NOTE110
source / vignettesOK204
linux-release-arm64NOTE136
linux-release-x86_64NOTE122
macos-release-arm64NOTE86
macos-release-x86_64NOTE334
macos-oldrel-arm64NOTE92
macos-oldrel-x86_64NOTE263
windows-develNOTE159
windows-releaseNOTE119
windows-oldrelNOTE105
wasm-releaseOK106

Exports:dfm_modelfavar_modelvar_model

Dependencies:armadillo4rclicpp4rdescR6