8238383edb
Fix up yli.turnbull
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Draw step function at configurable point on each Turnbull interval (previous documentation did not correctly describe the behaviour of the function)
Draw survival curve from time 0, survival 100%
2023-04-22 01:18:38 +10:00
8899d1c968
Implement RegressionModel.pseudo_rsquared_adj
2023-04-21 18:11:04 +10:00
53a0e98227
Pass through interval-censored Cox fitting progress to stderr
2023-04-21 18:10:40 +10:00
fd30a3c1c7
Refactor extraction of raw terms from regression result
2023-04-21 18:10:19 +10:00
f9a8a5cf01
Implement more kwargs in yli.regress
2023-04-21 18:09:58 +10:00
aa88239cb1
Implement deviance chi-squared test for Poisson regression
2023-04-21 15:27:47 +10:00
503519c9c0
Implement Poisson regression
2023-04-21 15:27:18 +10:00
844e6bdec9
Implement ttest_ind_multiple
2023-04-20 15:41:03 +10:00
2852d3dd19
Implement yli.IntervalCensoredCox
2023-04-17 22:40:32 +10:00
847ec85083
Draw survival curves beginning at time 0
2023-04-17 13:24:01 +10:00
f1e943ca89
Update documentation
2023-04-17 13:24:01 +10:00
ac2aca7b8f
Large refactor of yli.regress
2023-04-16 23:49:43 +10:00
dbfcec56c3
Implement yli.cox_interval_censored
2023-03-05 02:11:12 +11:00
e12dd65fdc
Implement yli.turnbull
2023-03-04 21:52:31 +11:00
d359820f42
Add documentation for survival analysis
2023-02-26 00:05:10 +11:00
18727cd950
Add documentation for SHAP
2023-02-25 23:59:01 +11:00
88509c71a3
Implement yli.logrank
2023-02-25 17:26:31 +11:00
e83aa88b19
Implement yli.kaplanmeier
2023-02-25 17:15:22 +11:00
642d0d4e4f
Implement likelihood ratio test for Cox regression
2023-02-25 15:08:09 +11:00
eb0d520d95
Add support for statsmodels PHReg to yli.regress
2023-02-25 14:46:13 +11:00
fa95f6d75c
Add exposure kwarg to yli.regress, for Poisson etc.
2023-02-25 14:12:44 +11:00
17bf3cbcab
Add helper function set up graph fonts
2023-02-07 18:50:15 +11:00
967b853b02
Implement utilities for SHAP values in regression
2023-02-07 18:50:07 +11:00
dbebc3b8e9
Autodetect ordinal variables in auto_univariable
2023-02-07 18:49:57 +11:00
68d7a31b53
Add documentation for auto_correlations
2023-02-07 18:49:00 +11:00
c2d4aaf8be
Implement yli.auto_correlations
2022-12-03 22:23:29 +11:00
5dce873e55
Add helper function for making dtype ordinal (ordered category)
2022-12-03 22:23:18 +11:00
0fa261498a
In auto_descriptives, autodetect ordinal variables based on category dtype
2022-12-03 22:20:42 +11:00
5633a191f1
Update documentation
2022-12-03 20:01:05 +11:00
fa89f2f156
Implement yli.spearman
2022-12-03 20:00:52 +11:00
56e16bc71d
Fixups and update documentation
2022-12-03 02:02:34 +11:00
957ef9f3fc
Add documentation for RegressionResult.brant
2022-12-03 01:59:54 +11:00
b2a72a8ef8
Add unit test for RegressionResult.brant
2022-12-03 01:59:54 +11:00
ea2d04ada1
Add unit test for OrdinalLogit
2022-12-03 01:59:54 +11:00
2135796d85
Automatically factorise pandas categorical when required for regression
2022-12-02 21:42:41 +11:00
04643d312c
Add unit test for RegressionResult.bootstrap
2022-12-02 21:07:08 +11:00
e4e85db354
Refactor bootstrap regression API as method of RegressionResult
2022-12-02 21:04:58 +11:00
4d59e1a521
Refactor Brant test API as method of RegressionResult
2022-12-02 20:47:35 +11:00
fc8303678f
Initial implementation of Brant test
2022-12-02 20:47:34 +11:00
0dab62ad0a
Implement yli.OrdinalLogit as preferred model for ordinal logistic regression
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OrdinalLogit uses a parameterisation where the cutoff terms are directly incorporated
2022-12-02 20:47:11 +11:00
f8e56d96b1
Add "method" parameter for yli.regress
2022-12-02 12:54:03 +11:00
a48e96e96c
Handle OrderedModel for yli.regress
2022-12-02 12:53:50 +11:00
5b08784498
Ignore ModuleNotFoundError in yli.reload
2022-11-29 23:08:31 +11:00
645cb7a85e
Rename bootstrap_regress to regress_bootstrap and update
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Improve performance by directly calling statsmodels regression
Report bootstrap in model summary
Add to documentation
2022-11-29 23:00:14 +11:00
e71a1aea12
Implement bootstrap_regress
2022-11-29 14:40:50 +11:00
e268f385be
Implement yli.auto_descriptives
2022-11-10 21:20:06 +11:00
c3eef0efea
In auto_univariable, omit NaN only from affected analyses
2022-11-10 18:51:35 +11:00
f80afd0e80
Allow check_nan to only consider certain columns
2022-11-10 18:51:35 +11:00
040aa2d463
Implement convert_pandas_nullable for pandas nullable boolean dtype
2022-11-10 18:46:54 +11:00
ed67a4a610
Make nan_policy defaults consistent
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Should default to 'warn' always
2022-11-10 18:28:27 +11:00
