estimagic

Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.

Metadata

Release files for estimagic 0.4.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for estimagic 0.4.1
File	Size	Uploaded
estimagic-0.4.1.tar.gz	312.6 kB	Oct 10, 2022	Details

Built distribution (wheel)

Table of built distributions (wheels) for estimagic 0.4.1
File	Interpreter	ABI	Platform	Reset
estimagic-0.4.1-py3-none-any.whl 351.7 kB Oct 10, 2022	Python 3	none	any	Details

Total release size: 664.3 kB

Release files / estimagic-0.4.1.tar.gz

Download URL	estimagic-0.4.1.tar.gz
Size	312.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`2a63c85636ef54e80526c4a670f277a60ec3649e555cae4e8cff39ea0ccee44b`
BLAKE2b-256 checksum How to use checksums	`ad03d6f61b8be732780d63c0bc36fde0f413dc871de74ad3523a02e48991c13f`
Upload date	Oct 10, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.14`

Release files / estimagic-0.4.1-py3-none-any.whl

Download URL	estimagic-0.4.1-py3-none-any.whl
Size	351.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`62c23399ba2efefe960860761881280ad04150df09d2df47b3f6d4e90dcbcd8a`
BLAKE2b-256 checksum How to use checksums	`4f8d489b53544050ae0c59da2e93df496bab8d76dfc4d00817383cfcbcccd994`
Upload date	Oct 10, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.14`