Batch remove pymc tags (#376)

* create truncated regression example

* delete truncated regression example from main branch

* create truncated regression example

* delete truncated regression example from main branch

* create truncated regression example

* delete truncated regression example from main branch

* fix incorrect statement about pm.NormalMixture

* batch remove pymc and pymc3 tags

Co-authored-by: Benjamin T. Vincent <drbenvincent@users.noreply.github.com>

Author: Benjamin T. Vincent

examples/case_studies/BART_introduction.ipynb

@@ -8,7 +8,7 @@
     "(BART_introduction)=\n",
     "# Bayesian Additive Regression Trees: Introduction\n",
     ":::{post} Dec 21, 2021\n",
-    ":tags: BART, Bayesian additive regression trees, non-parametric, regression\n",
+    ":tags: BART, Bayesian additive regression trees, non-parametric, regression \n",
     ":category: intermediate, explanation\n",
     ":author: Osvaldo Martin\n",
     ":::"

examples/case_studies/BEST.ipynb

@@ -8,7 +8,7 @@
     "# Bayesian Estimation Supersedes the T-Test\n",
     "\n",
     ":::{post} Jan 07, 2022\n",
-    ":tags: hypothesis testing, model comparison, pymc3.Deterministic, pymc3.Exponential, pymc3.Model, pymc3.Normal, pymc3.StudentT, pymc3.Uniform\n",
+    ":tags: hypothesis testing, model comparison, \n",
     ":category: beginner\n",
     ":author: Andrew Straw, Thomas Wiecki, Chris Fonnesbeck, Andrés suárez\n",
     ":::"

examples/case_studies/blackbox_external_likelihood_numpy.ipynb

@@ -8,7 +8,7 @@
     "# Using a \"black box\" likelihood function (numpy)\n",
     "\n",
     ":::{post} Dec 16, 2021\n",
-    ":tags: case study, external likelihood, pymc.Model, pymc.Normal, pymc.Potential, pymc.Uniform, pymc3.Model, pymc3.Normal, pymc3.Potential, pymc3.Uniform\n",
+    ":tags: case study, external likelihood, \n",
     ":category: beginner\n",
     ":author: Matt Pitkin, Jørgen Midtbø, Oriol Abril\n",
     ":::\n",

examples/case_studies/factor_analysis.ipynb

@@ -8,7 +8,7 @@
     "# Factor analysis\n",
     "\n",
     ":::{post} 19 Mar, 2022\n",
-    ":tags: factor analysis, matrix factorization, pca\n",
+    ":tags: factor analysis, matrix factorization, pca \n",
     ":category: advanced, how-to\n",
     ":author: Chris Hartl,  Christopher Krapu, Oriol Abril-Pla\n",
     ":::"

examples/case_studies/hierarchical_partial_pooling.ipynb

@@ -7,7 +7,7 @@
     "# Hierarchical Partial Pooling\n",
     "\n",
     ":::{post} Oct 07, 2021\n",
-    ":tags: hierarchical model, pymc.Beta, pymc.Binomial, pymc.Deterministic, pymc.Exponential, pymc.Model, pymc.Uniform, pymc3.Beta, pymc3.Binomial, pymc3.Deterministic, pymc3.Exponential, pymc3.Model, pymc3.Uniform\n",
+    ":tags: hierarchical model, \n",
     ":category: intermediate\n",
     ":::"
    ]

examples/case_studies/item_response_nba.ipynb

@@ -8,7 +8,7 @@
     "# NBA Foul Analysis with Item Response Theory\n",
     "\n",
     ":::{post} Apr 17, 2022\n",
-    ":tags: hierarchical model, case study, generalized linear model\n",
+    ":tags: hierarchical model, case study, generalized linear model \n",
     ":category: intermediate, tutorial\n",
     ":author:  Austin Rochford, Lorenzo Toniazzi\n",
     ":::"

examples/case_studies/mediation_analysis.ipynb

@@ -9,7 +9,7 @@
     "# Bayesian mediation analysis\n",
     "\n",
     ":::{post} February, 2022\n",
-    ":tags: mediation, path analysis, regression\n",
+    ":tags: mediation, path analysis, regression \n",
     ":category: beginner\n",
     ":author: Benjamin T. Vincent\n",
     ":::\n",

examples/case_studies/moderation_analysis.ipynb

@@ -9,7 +9,7 @@
     "# Bayesian moderation analysis\n",
     "\n",
     ":::{post} March, 2022\n",
-    ":tags: moderation, path analysis,\n",
+    ":tags: moderation, path analysis, \n",
     ":category: beginner\n",
     ":author: Benjamin T. Vincent\n",
     ":::\n",

examples/case_studies/multilevel_modeling.ipynb

@@ -8,7 +8,7 @@
     "# A Primer on Bayesian Methods for Multilevel Modeling\n",
     "\n",
     ":::{post} 27 February, 2022\n",
-    ":tags: hierarchical model, case study\n",
+    ":tags: hierarchical model, case study \n",
     ":category: intermediate\n",
     ":author: Chris Fonnesbeck, Colin Carroll, Alex Andorra, Oriol Abril, Farhan Reynaldo\n",
     ":::"

examples/case_studies/probabilistic_matrix_factorization.ipynb

@@ -7,7 +7,7 @@
     "# Probabilistic Matrix Factorization for Making Personalized Recommendations\n",
     "\n",
     ":::{post} Sept 20, 2021\n",
-    ":tags: case study, pymc3.Model, pymc3.MvNormal, pymc3.Normal\n",
+    ":tags: case study, \n",
     ":category: intermediate\n",
     ":::"
    ]