docs: update disclaimer and fix broken intersphinx links

Author: kmnhan

README.md

@@ -13,7 +13,7 @@ xarray-lmfit is a Python package that bridges the power of [xarray](http://xarra
 
 With xarray-lmfit, [lmfit models](https://lmfit.github.io/lmfit-py/model.html) can be fit to xarray Datasets and DataArrays, automatically propagating across multiple dimensions. The fit results are stored as xarray Datasets, retaining the original coordinates and dimensions of the input data.
 
-Disclaimer: Please note that this package is not affiliated with either the xarray or lmfit projects. Any issues arising from its use should be reported to the [xarray-lmfit issue tracker](https://github.com/kmnhan/xarray-lmfit/issues) rather than to the xarray or lmfit projects.
+Disclaimer: Please note that this package is independent and not affiliated with the xarray or lmfit projects. If you encounter any issues, please report them on the [xarray-lmfit issue tracker](https://github.com/kmnhan/xarray-lmfit/issues).
 
 ## Installation
 

docs/source/conf.py

@@ -77,16 +77,21 @@
 napoleon_use_rtype = True
 napoleon_preprocess_types = True
 napoleon_type_aliases = {
-    "ndarray": "numpy.ndarray",
+    "Hashable": ":obj:`Hashable <collections.abc.Hashable>`",
+    "Mapping": ":obj:`Mapping <collections.abc.Mapping>`",
+    "Sequence": ":obj:`Sequence <collections.abc.Sequence>`",
+    "Iterable": ":obj:`Iterable <collections.abc.Iterable>`",
+    "Callable": ":obj:`Callable <collections.abc.Callable>`",
+    "ndarray": ":class:`numpy.ndarray`",
     "DataArray": ":class:`DataArray <xarray.DataArray>`",
     "Dataset": ":class:`Dataset <xarray.Dataset>`",
     "DataTree": ":class:`DataTree <xarray.DataTree>`",
     "np.float32": "float32",
     "numpy.float32": "float32",
     "np.float64": "float64",
     "numpy.float64": "float64",
-    "array-like": "`array-like <numpy.typing.ArrayLike>`",
-    "path-like": "`path-like <os.PathLike>`",
+    "array-like": ":obj:`array-like <numpy.typing.ArrayLike>`",
+    "path-like": ":obj:`path-like <os.PathLike>`",
     "lmfit.Parameters": ":class:`lmfit.Parameters <lmfit.parameter.Parameters>`",
     "lmfit.Model": ":class:`lmfit.Model <lmfit.model.Model>`",
 }

docs/source/getting-started.md

@@ -33,4 +33,4 @@ The import name is `xarray_lmfit` (with an underscore `_`), not `xarray-lmfit`.
 
 :::
 
-If the installation was successful, you should see the version number of `xarray-lmfit` printed to the console.
+If the installation was successful, you should see the version number printed to the console.

docs/source/index.md

@@ -29,6 +29,12 @@ xarray-lmfit is a Python package that bridges the power of [xarray](http://xarra
 
 With xarray-lmfit, [lmfit models](https://lmfit.github.io/lmfit-py/model.html) can be fit to xarray Datasets and DataArrays, automatically propagating across multiple dimensions. The fit results are stored as xarray Datasets, retaining the original coordinates and dimensions of the input data.
 
+```{admonition} Disclaimer
+
+Please note that this package is independent and not affiliated with the xarray or lmfit projects. If you encounter any issues, please report them on the [xarray-lmfit issue tracker](https://github.com/kmnhan/xarray-lmfit/issues).
+
+```
+
 ```{toctree}
 :caption: Contents
 :maxdepth: 2

src/xarray_lmfit/modelfit.py

@@ -161,18 +161,19 @@ def __call__(
         params : lmfit.Parameters, dict-like, DataArray or Dataset, optional
             Optional input parameters to the fit.
 
-            - If a `lmfit.Parameters <lmfit.parameter.Parameters>` object, it will be
-              used for all fits.
+            - If a :class:`lmfit.Parameters <lmfit.parameter.Parameters>` object, it
+              will be used for all fits.
 
             - If a dict-like object, it must be structured like keyword arguments to
               :func:`lmfit.create_params <lmfit.parameter.create_params>`.
 
               Additionally, each value of the dictionary may also be a DataArray, which
               will be broadcasted appropriately.
 
-            - If a DataArray, each entry must be a dict-like object, a `lmfit.Parameters
-              <lmfit.parameter.Parameters>` object, or a JSON string created with
-              :meth:`lmfit.Parameters.dumps <lmfit.parameter.Parameters.dumps>`.
+            - If a DataArray, each entry must be a dict-like object, a
+              :class:`lmfit.Parameters <lmfit.parameter.Parameters>` object, or a JSON
+              string created with :meth:`lmfit.Parameters.dumps
+              <lmfit.parameter.Parameters.dumps>`.
 
             - If a Dataset, the name of the data variables in the Dataset must match the
               name of the data variables in the calling object, and each data variable