HARK

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Sequence Space Jacobian Type

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Integrating @wdu9's work on SSJ. The results are very wrong... which is probably due to my lack of experience with SSJ Would appreciate help from @wdu9 and @Mv77

alanlujan91

Adding HARK-SSJ-notebook [WIP]

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Please ensure your pull request adheres to the following guidelines: - [ ] Tests for new functionality/models or Tests to reproduce the bug-fix in code. - [ ] Updated documentation...

wdu9

portfolio consumer model with recursive block definition working with generic monte carlo

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This PR: - introduces a new 'new model', an unnormalized idiosyncratic shock model with (optional) portfolio share based on SolvingMicroDSOPS notes - an RBlock which can combine several DBlocks into...

sbenthall

[WIP] estimation using `estimagic`

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Please ensure your pull request adheres to the following guidelines: - [ ] Tests for new functionality/models or Tests to reproduce the bug-fix in code. - [ ] Updated documentation...

alanlujan91

allow use of string expressions instead of lambdas when definition new format models.

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This PR allows the user to define 'new format models' with string mathematical expressions instead of lambdas. - [ ] Tests for new functionality/models or Tests to reproduce the bug-fix...

sbenthall

The FrameAgentType was an earlier attempt to do what is now being done with Blocks and the generic Monte Carlo simulator. I should remove the frame.py module and bring the...

sbenthall

This PR was [automatically generated] to re-execute the example notebooks for use in the documentation. [automatically generated]: https://github.com/Econ-ARK/HARK/actions/workflows/execute-notebooks.yml

github-actions[bot]

The parameter called DeprFac in the code is a rate, not a factor, and should be DeprRte. This is my fault and has been here for years.

mnwhite

the "whiteboard problem"

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Throughout HARK, the AgentType object is being used like a whiteboard. Mathematical objects are assigned as attributes to `self` willy-nilly. This leads to an unstructured namespace that is hard to...

sbenthall

[DO NOT MERGE]: Bivariate Lognormal

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Added a class corresponding to the bivariate lognormal distribution (current features generalizable to the multivariate lognormal). Need to make sure things are in order before proceeding. @alanlujan91 @llorracc

sidd3888