https://pypi.org/project/symbolicdsge/ Recent updates to the Python Package Index for SymbolicDSGE en https://pypi.org/project/symbolicdsge/1.2.0.dev1/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Functionality is included to regress on measurement equations with symbolic function discovery using Kalman Filter innovations. The library is designed to be a diagnostic tool to provide isight into potential model misspecifications through said mesaurement regressions. guneykiymac@gmail.com Thu, 09 Apr 2026 13:02:46 GMT https://pypi.org/project/symbolicdsge/1.2.0.dev0/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Functionality is included to regress on measurement equations with symbolic function discovery using Kalman Filter innovations. The library is designed to be a diagnostic tool to provide isight into potential model misspecifications through said mesaurement regressions. guneykiymac@gmail.com Thu, 09 Apr 2026 00:53:54 GMT https://pypi.org/project/symbolicdsge/1.1.0/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Functionality is included to regress on measurement equations with symbolic function discovery using Kalman Filter innovations. The library is designed to be a diagnostic tool to provide isight into potential model misspecifications through said mesaurement regressions. guneykiymac@gmail.com Sun, 29 Mar 2026 17:05:08 GMT https://pypi.org/project/symbolicdsge/1.0.1/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Functionality is included to regress on measurement equations with symbolic function discovery using Kalman Filter innovations. The library is designed to be a diagnostic tool to provide isight into potential model misspecifications through said mesaurement regressions. guneykiymac@gmail.com Tue, 24 Mar 2026 16:14:27 GMT https://pypi.org/project/symbolicdsge/1.0.0/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Functionality is included to regress on measurement equations with symbolic function discovery using Kalman Filter innovations. The library is designed to be a diagnostic tool to provide isight into potential model misspecifications through said mesaurement regressions. guneykiymac@gmail.com Thu, 19 Mar 2026 02:58:07 GMT https://pypi.org/project/symbolicdsge/0.5.3/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Functionality is included to regress on measurement equations with symbolic function discovery using Kalman Filter innovations. The library is designed to be a diagnostic tool to provide isight into potential model misspecifications through said mesaurement regressions. guneykiymac@gmail.com Fri, 13 Mar 2026 02:03:19 GMT https://pypi.org/project/symbolicdsge/0.5.2/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Functionality is included to regress on measurement equations with symbolic function discovery using Kalman Filter innovations. The library is designed to be a diagnostic tool to provide isight into potential model misspecifications through said mesaurement regressions. guneykiymac@gmail.com Wed, 11 Mar 2026 23:55:01 GMT https://pypi.org/project/symbolicdsge/0.5.1/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Though currently in development, the library will provide symbolic regression based measurement correction capabilities. In addition, a heavily constrained symbolic search for model equation-augmentation is being planned, but may never come to life. guneykiymac@gmail.com Mon, 09 Mar 2026 00:01:12 GMT https://pypi.org/project/symbolicdsge/0.5.0/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Though currently in development, the library will provide symbolic regression based measurement correction capabilities. In addition, a heavily constrained symbolic search for model equation-augmentation is being planned, but may never come to life. Mon, 02 Mar 2026 03:22:19 GMT https://pypi.org/project/symbolicdsge/0.2.2/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Though currently in development, the library will provide symbolic regression based measurement correction capabilities. In addition, a heavily constrained symbolic search for model equation-augmentation is being planned, but may never come to life. Wed, 28 Jan 2026 01:05:54 GMT https://pypi.org/project/symbolicdsge/0.2.1/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Though currently in development, the library will provide symbolic regression based measurement correction capabilities. In addition, a heavily constrained symbolic search for model equation-augmentation is being planned, but may never come to life. Sun, 25 Jan 2026 02:11:33 GMT https://pypi.org/project/symbolicdsge/0.2.0/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Though currently in development, the library will provide symbolic regression based measurement correction capabilities. In addition, a heavily constrained symbolic search for model equation-augmentation is being planned, but may never come to life. Sat, 24 Jan 2026 03:14:52 GMT https://pypi.org/project/symbolicdsge/0.1.9/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Though currently in development, the library will provide symbolic regression based measurement correction capabilities. In addition, a heavily constrained symbolic search for model equation-augmentation is being planned, but may never come to life. Fri, 23 Jan 2026 05:03:13 GMT https://pypi.org/project/symbolicdsge/0.1.8/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Though currently in development, the library will provide symbolic regression based measurement correction capabilities. In addition, a heavily constrained symbolic search for model equation-augmentation is being planned, but may never come to life. Thu, 22 Jan 2026 03:06:03 GMT https://pypi.org/project/symbolicdsge/0.1.7/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Though currently in development, the library will provide symbolic regression based measurement correction capabilities. In addition, a heavily constrained symbolic search for model equation-augmentation is being planned, but may never come to life. Tue, 20 Jan 2026 00:57:12 GMT https://pypi.org/project/symbolicdsge/0.1.6/ A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Though in currently in development, the library will provide symbolic regression based measurement correction capabilities. In addition, a heavily constrained symbolic search for model equation-augmentation is being planned, but may never come to life. Sat, 17 Jan 2026 16:31:36 GMT https://pypi.org/project/symbolicdsge/0.1.5/ "A diagnostic symbolic adjustment layer for simple DSGE models. Sat, 17 Jan 2026 16:28:53 GMT https://pypi.org/project/symbolicdsge/0.1.0/ A diagnostic symbolic adjustment layer for simple DSGE models. Has a built-in DSGE linearized engine and a symbolic discovery to align solved model equations to empirical data by adjusting the model equations. Wed, 24 Dec 2025 04:42:38 GMT