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 <[email protected]>

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",
     ":::"
    ]

examples/case_studies/putting_workflow.ipynb

@@ -8,7 +8,7 @@
     "# Model building and expansion for golf putting\n",
     "\n",
     ":::{post} Apr 2, 2022\n",
-    ":tags: bayesian workflow, model expansion, sports\n",
+    ":tags: bayesian workflow, model expansion, sports \n",
     ":category: intermediate, how-to\n",
     ":author: Colin Carroll, Marco Gorelli, Oriol Abril-Pla\n",
     ":::\n",

examples/case_studies/regression_discontinuity.ipynb

@@ -9,7 +9,7 @@
     "# Regression discontinuity design analysis\n",
     "\n",
     ":::{post} April, 2022\n",
-    ":tags: regression, causal inference, quasi experimental design, counterfactuals\n",
+    ":tags: regression, causal inference, quasi experimental design, counterfactuals \n",
     ":category: beginner, explanation\n",
     ":author: Benjamin T. Vincent\n",
     ":::\n",

examples/case_studies/rugby_analytics.ipynb

@@ -7,7 +7,7 @@
     "# A Hierarchical model for Rugby prediction\n",
     "\n",
     ":::{post} 19 Mar, 2022\n",
-    ":tags: hierarchical, sports\n",
+    ":tags: hierarchical, sports \n",
     ":category: intermediate, how-to\n",
     ":author: Peadar Coyle, Meenal Jhajharia, Oriol Abril-Pla\n",
     ":::"

examples/case_studies/spline.ipynb

@@ -8,7 +8,7 @@
     "# Splines\n",
     "\n",
     ":::{post} June 4, 2022 \n",
-    ":tags: patsy, regression, spline\n",
+    ":tags: patsy, regression, spline \n",
     ":category: beginner\n",
     ":author: Joshua Cook\n",
     ":::"

examples/case_studies/wrapping_jax_function.ipynb

@@ -8,7 +8,7 @@
     "# How to wrap a JAX function for use in PyMC\n",
     "\n",
     ":::{post} Mar 24, 2022\n",
-    ":tags: Aesara, hidden markov model, JAX\n",
+    ":tags: Aesara, hidden markov model, JAX \n",
     ":category: advanced, how-to\n",
     ":author: Ricardo Vieira\n",
     ":::"

examples/diagnostics_and_criticism/Bayes_factor.ipynb

@@ -7,7 +7,7 @@
     "(Bayes_factor)=\n",
     "# Bayes Factors and Marginal Likelihood\n",
     ":::{post} Jun 1, 2022\n",
-    ":tags: Bayes Factors, model comparison\n",
+    ":tags: Bayes Factors, model comparison \n",
     ":category: beginner, explanation\n",
     ":author: Osvaldo Martin\n",
     ":::"

examples/diagnostics_and_criticism/sampler-stats.ipynb

@@ -13,7 +13,7 @@
     "statistics for each generated sample.\n",
     "\n",
     ":::{post} May 31, 2022\n",
-    ":tags: diagnostics\n",
+    ":tags: diagnostics \n",
     ":category: beginner\n",
     ":author: Meenal Jhajharia, Christian Luhmann\n",
     ":::"

examples/gaussian_processes/GP-Latent.ipynb

@@ -8,7 +8,7 @@
     "# Gaussian Process for CO2 at Mauna Loa\n",
     "\n",
     ":::{post} April, 2022\n",
-    ":tags: gaussian process, CO2\n",
+    ":tags: gaussian process, CO2 \n",
     ":category: intermediate\n",
     ":author: Bill Engels, Chris Fonnesbeck\n",
     ":::"

examples/gaussian_processes/GP-MaunaLoa.ipynb

@@ -9,7 +9,7 @@
     "# Binomial regression\n",
     "\n",
     ":::{post} February, 2022\n",
-    ":tags: binomial regression, generalized linear model, pymc.Binomial, pymc.ConstantData, pymc.Deterministic, pymc.Model, pymc.Normal, pymc3.Binomial, pymc3.ConstantData, pymc3.Deterministic, pymc3.Model, pymc3.Normal\n",
+    ":tags: binomial regression, generalized linear model, \n",
     ":category: beginner\n",
     ":author: Benjamin T. Vincent\n",
     ":::"

examples/generalized_linear_models/GLM-binomial-regression.ipynb

@@ -6,7 +6,7 @@
    "source": [
     "# Hierarchical Binomial Model: Rat Tumor Example\n",
     ":::{post} Nov 11, 2021\n",
-    ":tags: generalized linear model, hierarchical model\n",
+    ":tags: generalized linear model, hierarchical model \n",
     ":category: intermediate\n",
     ":author: Demetri Pananos, Junpeng Lao, Raúl Maldonado, Farhan Reynaldo\n",
     ":::"

examples/generalized_linear_models/GLM-hierarchical-binomial-model.ipynb

@@ -8,7 +8,7 @@
     "# GLM: Model Selection\n",
     "\n",
     ":::{post} Jan 8, 2022\n",
-    ":tags: cross validation, generalized linear models, loo, model comparison, pymc3.HalfCauchy, pymc3.Model, pymc3.Normal, waic\n",
+    ":tags: cross validation, generalized linear models, loo, model comparison, waic \n",
     ":category: intermediate\n",
     ":author: Jon Sedar, Junpeng Lao, Abhipsha Das, Oriol Abril-Pla\n",
     ":::"