koma
0.3.1Bayesian Simultaneous Equation Models for Forecasting
Overview
Estimate and forecast Bayesian simultaneous equation models for macroeconomic time series. Provides tools to specify systems of behavioral equations and accounting identities, transform and manage time series, simulate from the posterior using a Metropolis-within-Gibbs sampler, and generate unconditional and conditional forecasts with user-defined priors and restrictions. Methods are described in Rathke A. and Sarferaz S. (forthcoming) "Bayesian Estimation of Simultaneous Equations Model".
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- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0110 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-305 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- 91%
- Return-value docs
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- References docs
- 4%
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1 release. R releases are shown for context.
- 0.3.1Latest2026-07-29 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-29
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 47 KB / 3 files
- Download size
- not tracked yet
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