This package is considered a duplicate. The official version of this package is found at:https://kvasilopoulos.r-universe.dev/ivx
Package: ivx 1.1.0
ivx: Robust Econometric Inference
Drawing statistical inference on the coefficients of a short- or long-horizon predictive regression with persistent regressors by using the IVX method of Magdalinos and Phillips (2009) <doi:10.1017/S0266466608090154> and Kostakis, Magdalinos and Stamatogiannis (2015) <doi:10.1093/rfs/hhu139>.
Authors:
ivx_1.1.0.tar.gz
ivx_1.1.0.tar.gz(r-4.5-noble)ivx_1.1.0.tar.gz(r-4.4-noble)
ivx_1.1.0.tgz(r-4.4-emscripten)ivx_1.1.0.tgz(r-4.3-emscripten)
ivx.pdf |ivx.html✨
ivx/json (API)
NEWS
# Install 'ivx' in R: |
install.packages('ivx', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kvasilopoulos/ivx/issues
Datasets:
- kms - KMS Monthly data
- kms_quarterly - KMS Quarterly data
- ylpc - YLPC Quarterly data
Last updated 4 years agofrom:dd2468272b. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 17 2024 |
Exports:ac_testac_test_bgac_test_bpac_test_lbac_test_walddeltaextract.ivxextract.ivx_arivxivx_arivx_ar_fitivx_fit
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Autocorrelation tests | ac_test |
Tests for autocorrelation | ac_test_ ac_test_bg ac_test_bp ac_test_lb ac_test_wald |
Calculate the delta coefficient | delta |
'extract' method for 'ivx' objects | extract.ivx extract.ivx_ar |
Fitting IVX Models | ivx print.ivx |
Fitting IVX-AR Models | ivx_ar print.ivx_ar |
Fitter Functions for IVX-AR Models | ivx_ar_fit |
Fitter Functions for IVX Models | ivx_fit ivx_wfit |
KMS Monthly data | kms |
KMS Quarterly data | kms_quarterly |
Summarizing IVX Model Fits | print.summary.ivx summary.ivx |
Summarizing IVX-AR Model Fits | print.summary.ivx_ar summary.ivx_ar |
Calculate Variance-Covariance Matrix for a Fitted Model Object | vcov.ivx vcov.summary.ivx |
YLPC Quarterly data | ylpc |