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967b853b02
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Implement utilities for SHAP values in regression
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2023-02-07 18:50:07 +11:00 |
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dbebc3b8e9
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Autodetect ordinal variables in auto_univariable
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2023-02-07 18:49:57 +11:00 |
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68d7a31b53
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Add documentation for auto_correlations
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2023-02-07 18:49:00 +11:00 |
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c2d4aaf8be
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Implement yli.auto_correlations
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2022-12-03 22:23:29 +11:00 |
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5dce873e55
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Add helper function for making dtype ordinal (ordered category)
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2022-12-03 22:23:18 +11:00 |
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0fa261498a
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In auto_descriptives, autodetect ordinal variables based on category dtype
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2022-12-03 22:20:42 +11:00 |
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5633a191f1
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Update documentation
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2022-12-03 20:01:05 +11:00 |
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fa89f2f156
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Implement yli.spearman
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2022-12-03 20:00:52 +11:00 |
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56e16bc71d
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Fixups and update documentation
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2022-12-03 02:02:34 +11:00 |
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bbb998003e
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Show inherited members for chi-squared based tests
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2022-12-03 01:59:54 +11:00 |
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957ef9f3fc
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Add documentation for RegressionResult.brant
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2022-12-03 01:59:54 +11:00 |
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b2a72a8ef8
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Add unit test for RegressionResult.brant
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2022-12-03 01:59:54 +11:00 |
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ea2d04ada1
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Add unit test for OrdinalLogit
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2022-12-03 01:59:54 +11:00 |
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2135796d85
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Automatically factorise pandas categorical when required for regression
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2022-12-02 21:42:41 +11:00 |
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04643d312c
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Add unit test for RegressionResult.bootstrap
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2022-12-02 21:07:08 +11:00 |
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e4e85db354
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Refactor bootstrap regression API as method of RegressionResult
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2022-12-02 21:04:58 +11:00 |
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4d59e1a521
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Refactor Brant test API as method of RegressionResult
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2022-12-02 20:47:35 +11:00 |
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fc8303678f
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Initial implementation of Brant test
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2022-12-02 20:47:34 +11:00 |
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0dab62ad0a
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Implement yli.OrdinalLogit as preferred model for ordinal logistic regression
OrdinalLogit uses a parameterisation where the cutoff terms are directly incorporated
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2022-12-02 20:47:11 +11:00 |
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f8e56d96b1
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Add "method" parameter for yli.regress
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2022-12-02 12:54:03 +11:00 |
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a48e96e96c
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Handle OrderedModel for yli.regress
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2022-12-02 12:53:50 +11:00 |
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5b08784498
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Ignore ModuleNotFoundError in yli.reload
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2022-11-29 23:08:31 +11:00 |
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645cb7a85e
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Rename bootstrap_regress to regress_bootstrap and update
Improve performance by directly calling statsmodels regression
Report bootstrap in model summary
Add to documentation
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2022-11-29 23:00:14 +11:00 |
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e71a1aea12
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Implement bootstrap_regress
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2022-11-29 14:40:50 +11:00 |
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e268f385be
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Implement yli.auto_descriptives
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2022-11-10 21:20:06 +11:00 |
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c3eef0efea
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In auto_univariable, omit NaN only from affected analyses
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2022-11-10 18:51:35 +11:00 |
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f80afd0e80
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Allow check_nan to only consider certain columns
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2022-11-10 18:51:35 +11:00 |
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040aa2d463
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Implement convert_pandas_nullable for pandas nullable boolean dtype
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2022-11-10 18:46:54 +11:00 |
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b40f63aa43
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Touch up documentation
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2022-11-10 18:28:46 +11:00 |
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ed67a4a610
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Make nan_policy defaults consistent
Should default to 'warn' always
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2022-11-10 18:28:27 +11:00 |
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e5833796af
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Add auto_univariable
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2022-11-09 23:31:27 +11:00 |
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ce4df2eac1
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Show independent/dependent variables in t test and Mann-Whitney output
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2022-11-09 22:25:50 +11:00 |
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239a0646d2
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Rename ConfidenceInterval to Interval
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2022-11-09 22:10:15 +11:00 |
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0f63b7eb40
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Show descriptives in Mann-Whitney test output
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2022-11-09 22:08:27 +11:00 |
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ea2bf53ace
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Display t test comparison of groups as table
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2022-11-09 18:18:47 +11:00 |
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d8dcece09d
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Refactor fmt_p
Combine html, only_value, tabular flags into a single Flag
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2022-11-09 17:39:53 +11:00 |
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c6cef4aee7
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Update documentation
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2022-11-09 17:39:52 +11:00 |
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50597ddc74
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Update convert_pandas_nullable
Automatically convert pandas Float64 to float64 when required
Avoid unnecessary copy if possible
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2022-11-09 17:39:52 +11:00 |
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ab90cfc0e4
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Report group means/SD for t test
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2022-11-09 17:05:16 +11:00 |
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bae93b2c8e
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Fix bug when nan_policy='raise'
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2022-10-20 20:59:06 +11:00 |
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b31ae6686f
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Make yli.mannwhitney support pandas nullable dtypes
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2022-10-20 20:58:42 +11:00 |
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ee36ac9d14
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Add test and example for yli.pearsonr
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2022-10-20 20:57:57 +11:00 |
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5248abf859
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Clarify documentation for Mann-Whitney test
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2022-10-20 20:57:24 +11:00 |
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05e5189fc5
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Update global.rst documentation
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2022-10-19 08:54:39 +11:00 |
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66d7e70806
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Add expected summary output to unit tests for examples in documentation
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2022-10-19 08:49:44 +11:00 |
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d5ce46f6d0
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Add example code/output to documentation
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2022-10-19 08:49:44 +11:00 |
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62c23efebc
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Align tabular p values in plaintext output
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2022-10-19 08:49:44 +11:00 |
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a484b6205c
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Add option to make __repr__ print the summary
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2022-10-19 08:49:44 +11:00 |
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57189990d6
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Write Sphinx documentation
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2022-10-19 08:49:44 +11:00 |
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7730ce476a
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Make PyCryptodome an optional dependency
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2022-10-19 08:49:44 +11:00 |
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