MRTool
MRTool (Meta-Regression Tool) package is designed to solve general meta-regression problem. The most interesting features include,
linear and log prediction function,
spline extension for covariates,
direct Gaussian, Uniform and Laplace prior on fixed and random effects,
shape constraints (monotonicity and convexity) for spline.
Advanced features include,
spline knots ensemble,
automatic covariate selection.
Installation
Use pip to install the package
pip install mrtool
For more information please check the documentation.
Metadata
Release files for mrtool 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mrtool-0.2.1.tar.gz | 33.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mrtool-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.1 kB
Release files / mrtool-0.2.1.tar.gz
| Download URL | mrtool-0.2.1.tar.gz |
|---|---|
| Size | 33.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Release files / mrtool-0.2.1-py3-none-any.whl
| Download URL | mrtool-0.2.1-py3-none-any.whl |
|---|---|
| Size | 29.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|