chenyang45 / BoostedHPLinks
packages for Peter Phillips and Zhentao Shi (2018): "Boosting the Hodrick-Prescott Filter"
☆12Updated 2 years ago
Alternatives and similar repositories for BoostedHP
Users that are interested in BoostedHP are comparing it to the libraries listed below
Sorting:
- R/C++ implementation of Bayes VAR models☆22Updated 5 years ago
- R wrapper for nowcast_lstm Python library. Long short-term memory neural networks for economic nowcasting.☆13Updated last year
- Dynamic Factor Models for R☆39Updated 2 weeks ago
- Bayesian Inference for Global Vector Autoregressive (GVAR) and Global Vector Error Correction (GVEC) Models☆17Updated last year
- TVP panel data model featuring time-varying network dependence introduced in "Bayesian state-space modeling for analyzing heterogeneous n…☆13Updated 4 years ago
- Dynamic factor models (DFM) in R. Easy estimation and new data contributions to changes in prediction.☆28Updated 2 years ago
- R Implementation of the Time Varying Cointegration by Bierens and Martins 2010☆10Updated 9 years ago
- State-Dependent Empirical Analysis: tools for state-dependent forecasts, impulse response functions, historical decomposition, and foreca…☆15Updated 2 years ago
- Toolbox for the estimation of Bayesian Global Vector Autoregressions in R.☆29Updated 8 months ago
- I analyze the interplay of three U.S. time series: unemployment, inflation and gross domestic product. The first cleans the data and inve…☆10Updated 5 years ago
- Bayesian SVARs with Sign, Zero, and Narrative Restrictions☆21Updated 2 months ago
- Partial re-write of the R package stochvol to allow for asymmetry (leverage).☆17Updated 3 weeks ago
- R package recreating econometric methods proposed in "Why You Should Never Use the Hodrick-Prescott Filter" by James Hamilton☆16Updated this week
- R package for Mixed-Frequency Bayesian VARs☆42Updated 4 years ago
- statespacer: State Space Modelling in R☆15Updated 2 years ago
- R package to estimate time-varying coefficient regressions☆19Updated 2 years ago
- Functions for Bayesian inference of vector autoregressive and vector error correction models☆33Updated 10 months ago
- Out-Of-Sample Time Series Forecasting: OOS introduces a comprehensive framework for time series forecasting with traditional econometric …☆10Updated 4 years ago
- Penalized Poisson Pseudo Maximum Likelihood☆12Updated 6 months ago
- Granger causality testing in High Dimensional Vector Autoregressive Models☆16Updated last year
- Time series forecasting with Lasso-type shrinkage methods☆13Updated 2 months ago
- TVP-QR model with time-varying scale parameter, proposed in "Modeling tail risks of inflation using unobserved component quantile regress…☆11Updated 3 years ago
- an R package for testing, estimating and evaluating the Panel Smooth Transition Regression (PSTR) model.☆21Updated 3 months ago
- Estimation and forecasting of VAR model with the Lasso☆31Updated 3 months ago
- ☆11Updated 10 years ago
- r package for bayesian VARs☆23Updated 7 years ago
- BLS API V2 interface☆15Updated last year
- Expected Shortfall Backtesting☆12Updated last year
- A package for shrinkage estimation of covariance matrices☆12Updated last year
- Time Series Modelling☆24Updated 3 weeks ago