CLN: Rename parameters and fix pandas issue

Avoid .values and use asarray
Use params consistently in api

arch/univariate/base.py

@@ -688,7 +688,7 @@ def forecast(self, params, horizon=1, start=None, align='origin', method='analyt
         rng : callable, optional
             Custom random number generator to use in simulation-based forecasts.
             Must produce random samples using the syntax `rng(size)` where size
-            is a tuple containing the dimension of the random values.
+            the 2-element tuple (simulations, horizon).
 
         Returns
         -------
@@ -1088,8 +1088,7 @@ def forecast(self, params=None, horizon=1, start=None, align='origin', method='a
         rng : callable, optional
             Custom random number generator to use in simulation-based forecasts.
             Must produce random samples using the syntax `rng(size)` where size
-            is either a scalar or a tuple containing the dimension of the
-            random values.
+            the 2-element tuple (simulations, horizon).
 
         Returns
         -------

arch/univariate/mean.py

@@ -628,7 +628,7 @@ def _fit_no_arch_normal_errors(self, cov_type='robust'):
                                self._is_pandas, opt, fit_start, fit_stop,
                                copy.deepcopy(self))
 
-    def forecast(self, parameters, horizon=1, start=None, align='origin',
+    def forecast(self, params, horizon=1, start=None, align='origin',
                  method='analytic', simulations=1000, rng=None):
         # Check start
         earliest, default_start = self._fit_indices
@@ -640,8 +640,8 @@ def forecast(self, parameters, horizon=1, start=None, align='origin',
                              'variables used to fit the first observation.  In this model, '
                              'this value is {0}.'.format(max(0, earliest - 1)))
         # Parse params
-        parameters = np.asarray(parameters)
-        mp, vp, dp = self._parse_parameters(parameters)
+        params = np.asarray(params)
+        mp, vp, dp = self._parse_parameters(params)
 
         #####################################
         # Compute residual variance forecasts

doc/source/_static/css/overrides.css

@@ -0,0 +1,73 @@
+body {
+  font-size: 14px;
+}
+
+.sidebar-toc {
+  font-size: 13px;
+}
+
+blockquote {
+   font-size: 14px;
+}
+
+code, pre, tt {
+  font-size: 14px;
+  font-family: Consolas, monospace;
+}
+
+code, tt {
+    color: #428bca;
+}
+
+div.seealso {
+    background-color: #f9f9f9;
+    border: none;
+}
+
+.m { color: #05003b} /* Literal.Number */
+.mf { color: #05003b } /* Literal.Number.Float */
+.mh { color: #05003b } /* Literal.Number.Hex */
+.mi { color: #05003b } /* Literal.Number.Integer */
+.mo { color: #05003b } /* Literal.Number.Oct */
+.il { color: #05003b } /* Literal.Number.Integer.Long */
+
+.descname { font-size: 17px; color: #378ae2; }
+
+
+.output_area table {
+  margin-left: 0;
+  margin-right: auto;
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  table-layout: fixed;
+}
+.output_area thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+.output_area tr,
+.output_area th,
+.output_area td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+.output_area th {
+  font-weight: bold;
+}
+.output_area tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+.output_area tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+
+.simpletable caption { font-weight: bold }
+
+.label { color: #333 }

doc/source/_templates/layout.html

@@ -0,0 +1,7 @@
+{# Import the theme's layout. #}
+{% extends "!layout.html" %}
+
+{%- block extrahead %}
+  {{ super() }}
+  <link rel="stylesheet" href="{{ pathto('_static/css/overrides.css', 1) }}" type="text/css" />
+{% endblock %}