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John S Bogaardt committed Jan 20, 2021
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chainladder (python)
====================

|PyPI version| |Conda Version| |Build Status| |Documentation Status|
|codecov.io|
|PyPI version| |Conda Version| |Build Status| |codecov io| |Documentation Status|

chainladder - Property and Casualty Loss Reserving in Python
------------------------------------------------------------
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Available Estimators
--------------------

``chainladder`` has an ever growing list of estimators that work
seemlessly together:
``chainladder`` has an ever growing list of estimators that work seemlessly together:

.. _R ChainLadder package: https://github.com/mages/ChainLadder
.. _pandas: https://pandas.pydata.org/
.. _scikit-learn: https://scikit-learn.org/stable/index.html

.. |PyPI version| image:: https://badge.fury.io/py/chainladder.svg
:target: https://badge.fury.io/py/chainladder

.. |Conda Version| image:: https://img.shields.io/conda/vn/conda-forge/chainladder.svg
:target: https://anaconda.org/conda-forge/chainladder

.. |Build Status| image:: https://github.com/casact/chainladder-python/workflows/Unit%20Tests/badge.svg

.. |Documentation Status| image:: https://readthedocs.org/projects/chainladder-python/badge/?version=latest
:target: http://chainladder-python.readthedocs.io/en/latest/?badge=latest
.. |codecov.io| image:: https://codecov.io/github/casact/chainladder-python/coverage.svg?branch=master

.. |codecov io| image:: https://codecov.io/github/casact/chainladder-python/coverage.svg?branch=master
:target: https://codecov.io/github/casact/chainladder-python?branch=master



+----------------+----------------+----------------+----------------+
| Loss | Tails Factors | IBNR Models | Adjustments & |
| Development | | | Workflow |
+================+================+================+================+
| `Development`_ | `TailCurve`_ | `Chainladder`_ | `Bootst |
| | | | rapODPSample`_ |
+----------------+----------------+----------------+----------------+
| `Develop | ` | `Mac | `Ber |
| mentConstant`_ | TailConstant`_ | kChainladder`_ | quistSherman`_ |
+----------------+----------------+----------------+----------------+
| `Muni | `TailBondy`_ | `Bornhuet | `Pipeline`_ |
| chAdjustment`_ | | tterFerguson`_ | |
+----------------+----------------+----------------+----------------+
| `ClarkLDF`_ | `TailClark`_ | `Benktander`_ | `GridSearch`_ |
+----------------+----------------+----------------+----------------+
| `Increme | | `CapeCod`_ | `Para |
| ntalAdditive`_ | | | llelogramOLF`_ |
+----------------+----------------+----------------+----------------+
| | | | `Trend`_ |
+----------------+----------------+----------------+----------------+
+------------------------------+------------------+-------------------------+-----------------------+
| Loss | Tails Factors | IBNR Models | Adjustments & |
| Development | | | Workflow |
+==============================+==================+=========================+=======================+
| `Development`_ | `TailCurve`_ | `Chainladder`_ | `BootstrapODPSample`_ |
+------------------------------+------------------+-------------------------+-----------------------+
| `DevelopmentConstant`_ | `TailConstant`_ | `MackChainladder`_ | `BerquistSherman`_ |
+------------------------------+------------------+-------------------------+-----------------------+
| `MunichAdjustment`_ | `TailBondy`_ | `BornhuettterFerguson`_ | `Pipeline`_ |
+------------------------------+------------------+-------------------------+-----------------------+
| `ClarkLDF`_ | `TailClark`_ | `Benktander`_ | `GridSearch`_ |
+------------------------------+------------------+-------------------------+-----------------------+
| `IncrementalAdditive`_ | | `CapeCod`_ | `ParallelogramOLF`_ |
+------------------------------+------------------+-------------------------+-----------------------+
| | | | `Trend`_ |
+------------------------------+------------------+-------------------------+-----------------------+

Documentation
-------------
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Getting Started Tutorials
-------------------------

Tutorial notebooks are available for download `here`_. \* `Working with
Triangles`_ \* `Selecting Development Patterns`_ \* `Extending
Development Patterns with Tails`_ \* `Applying Deterministic Methods`_
\* `Applying Stochastic Methods`_ \* `Large Datasets`_
Tutorial notebooks are available for download `here`_.

* `Working with Triangles`_
* `Selecting Development Patterns`_
* `Extending Development Patterns with Tails`_
* `Applying Deterministic Methods`_
* `Applying Stochastic Methods`_
* `Large Datasets`_

Installation
------------
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