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.
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
by Güney Kıymaç
pip install SymbolicDSGE
SymbolicDSGE is a linear DSGE Engine with a fully symbolic and adjustable model configuration. The library is currently in early-development and Symbolic Regression based equation augmentation features are being developed and will be included in the in this package.
Here are some useful links:
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file symbolicdsge-1.3.1.tar.gz.
File metadata
- Download URL: symbolicdsge-1.3.1.tar.gz
- Upload date:
- Size: 208.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: uv/0.11.17 {"installer":{"name":"uv","version":"0.11.17","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0f72fe6b878a652e49fcfa01d13b796564197205f6ef1a8d119c9d885549451c
|
|
| MD5 |
30a87d1a34c46544f03a5c0c71f97fc1
|
|
| BLAKE2b-256 |
86fe2fef22aedaa34826a7804af0bd79192cd85090c68c11a45f4ba851c048b3
|
File details
Details for the file symbolicdsge-1.3.1-py3-none-any.whl.
File metadata
- Download URL: symbolicdsge-1.3.1-py3-none-any.whl
- Upload date:
- Size: 269.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: uv/0.11.17 {"installer":{"name":"uv","version":"0.11.17","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
51ac06192cf5d007580835e83d2fc91303bbf6b8e52d65192a26ddcf5dbe42db
|
|
| MD5 |
c3f2e6feef64787dc2239bffefc76999
|
|
| BLAKE2b-256 |
022342b7937bb20d49ff0125c499c5d04a6e175f1c5a19ef6b9eb2b61ca54f63
|
