qpmR: Quarterly Projection Models for Monetary Policy Analysis

An end-to-end implementation of the semi-structural quarterly projection models used in central-bank forecasting and policy analysis systems: model declaration with model-consistent expectations, a generalized Schur solver with Blanchard-Kahn diagnostics following Klein (2000) <doi:10.1016/S0165-1889(99)00045-7>, Kalman filtering and smoothing for latent states such as the output gap and the neutral rate, historical shock decompositions, conditional forecasts that distinguish announced from unanticipated policy paths, an auditable judgment ledger, forecast rounds with revision decompositions, Bayesian estimation with identification diagnostics following Iskrev (2010) <doi:10.1016/j.jmoneco.2009.12.007>, and reporting. The canonical small open economy model of Berg, Karam and Laxton (2006) <doi:10.5089/9781451863413.001> ships as a calibrated template, with extension blocks for disaggregated food inflation and managed exchange rates.

Package details

AuthorMustapha Mohammed [aut, cre]
MaintainerMustapha Mohammed <muswaseja@gmail.com>
LicenseMIT + file LICENSE
Version1.1.0
URL https://mustapha-wasseja.github.io/qpmR/  https://github.com/Mustapha-Wasseja/qpmR 
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("qpmR")

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qpmR documentation built on Sept. 29, 2026, 5:10 p.m.