Small fixes to documentation and url config

Author: Jacobluke-

dabest/_modidx.py

@@ -2,8 +2,8 @@
 
 d = { 'settings': { 'branch': 'master',
                 'doc_baseurl': '/DABEST-python',
-                'doc_host': 'https://ZHANGROU-99.github.io',
-                'git_url': 'https://github.com/ZHANGROU-99/DABEST-python',
+                'doc_host': 'https://acclab.github.io',
+                'git_url': 'https://github.com/acclab/DABEST-python',
                 'lib_path': 'dabest'},
   'syms': { 'dabest._stats_tools.confint_1group': { 'dabest._stats_tools.confint_1group.compute_1group_acceleration': ( 'API/confint_1group.html#compute_1group_acceleration',
                                                                                                                         'dabest/_stats_tools/confint_1group.py'),

nbs/nbdev.yml

@@ -3,7 +3,7 @@ project:
 
 website:
   title: "dabest"
-  site-url: "https://ZHANGROU-99.github.io/DABEST-python"
+  site-url: "https://acclab.github.io/DABEST-python"
   description: "Data Analysis and Visualization using Bootstrap-Coupled Estimation."
   repo-branch: master
-  repo-url: "https://github.com/ZHANGROU-99/DABEST-python"
+  repo-url: "https://github.com/acclab/DABEST-python"

nbs/tutorials/01-basics.ipynb

@@ -462,7 +462,7 @@
     "\"unpaired mean difference\"). The confidence interval is reported as:\n",
     "[*confidenceIntervalWidth* *LowerBound*, *UpperBound*]\n",
     "\n",
-    "This confidence interval is generated through bootstrap resampling. See [`bootstraps`](/blog/posts/bootstraps/bootstraps.html) for more details.\n",
+    "This confidence interval is generated through bootstrap resampling. See [`bootstraps`](/blog/posts/bootstraps/bootstraps.ipynb) for more details.\n",
     "\n",
     "Since v0.3.0, DABEST will report the p-value of the [non-parametric two-sided approximate permutation t-test](https://en.wikipedia.org/wiki/Resampling_(statistics)#Permutation_tests). This is also known as *the Monte Carlo permutation test*.\n",
     "\n",
@@ -875,7 +875,7 @@
    "source": [
     "To generate a **Gardner-Altman estimation plot**, simply use the\n",
     "``.plot()`` method. You can learn more about its genesis and design\n",
-    "inspiration at [`robust-beautiful`](/blog/posts/robust-beautiful/robust-beautiful.html).\n",
+    "inspiration at [`robust-beautiful`](/blog/posts/robust-beautiful/robust-beautiful.ipynb).\n",
     "\n",
     "Each instance of an effect size has access to the ``.plot()`` method. This allows you to quickly create plots for different effect sizes with ease."
    ]

nbs/tutorials/03-proportion_plot.ipynb

@@ -1062,7 +1062,7 @@
     "\n",
     "Repeated measures are also supported in the Sankey plots for paired proportions. By adjusting the ``is_paired`` parameter, two types of plot can be generated.\n",
     "\n",
-    "By default, the raw data plot (upper part) in both ``baseline`` and ``sequential`` repeated measures remains the same; the only difference is the lower part. For detailed information about repeated measures, please refer to :doc:`repeatedmeasures` ."
+    "By default, the raw data plot (upper part) in both ``baseline`` and ``sequential`` repeated measures remains the same; the only difference is the lower part. For detailed information about repeated measures, please refer to [repeated measures](02-repeated_measures.ipynb) ."
    ]
   },
   {

nbs/tutorials/04-mini_meta_delta.ipynb

@@ -300,7 +300,7 @@
    "id": "1a3bcd5c",
    "metadata": {},
    "source": [
-    "When this ``Dabest`` object is invoked, it should indicate that effect sizes will be calculated for each group, along with the weighted delta. It is important to note once again that the weighted delta will only be calculated for mean differences"
+    "When this `dabest` object is invoked, it should indicate that effect sizes will be calculated for each group, along with the weighted delta. It is important to note once again that the weighted delta will only be calculated for mean differences"
    ]
   },
   {

settings.ini

@@ -35,7 +35,7 @@ description = Data Analysis and Visualization using Bootstrap-Coupled Estimation
 keywords = nbdev jupyter notebook python
 language = English
 status = 3
-user = ZHANGROU-99
+user = acclab
 
 requirements = fastcore pandas~=1.5.0 numpy~=1.23.5 matplotlib~=3.6.3 seaborn~=0.12.2 scipy~=1.9.3 datetime statsmodels lqrt
 dev_requirements = pytest~=7.2.1 pytest-mpl~=0.16.1

setup.py

@@ -28,6 +28,8 @@
 min_python = cfg['min_python']
 lic = licenses.get(cfg['license'].lower(), (cfg['license'], None))
 dev_requirements = (cfg.get('dev_requirements') or '').split()
+project_urls = {}
+if cfg.get('doc_host'): project_urls["Documentation"] = cfg['doc_host'] + cfg.get('doc_baseurl', '')
 
 setuptools.setup(
     name = cfg['lib_name'],
@@ -51,6 +53,7 @@
         'console_scripts': cfg.get('console_scripts','').split(),
         'nbdev': [f'{cfg.get("lib_path")}={cfg.get("lib_path")}._modidx:d']
     },
+    project_urls = project_urls,
     **setup_cfg)