rm recast and add meridian (#1632)

Author: juanitorduz

docs/source/guide/mmm/comparison.md

@@ -2,18 +2,18 @@
 
 Given the popularity of the Media Mix Modelling (MMM) approach, there are many packages available to perform MMM. Here's a high-level overview of how PyMC-Marketing compares to some of the most popular packages.
 
-|            | PyMC-Marketing      | Lightweight-MMM | Robyn                 | Orbit KTR | Recast              |
+|            | PyMC-Marketing      | Lightweight-MMM | Robyn                 | Orbit KTR | Meridian              |
 |------------|---------------------|-----------------|-----------------------|-----------|---------------------|
-| Language   | Python              | Python          | R                     | Python    | R                   |
-| Approach | Bayesian            | Bayesian        |  Traditional ML    | Bayesian | Bayesian    |
-| Foundation | PyMC                | NumPyro/JAX     |                       | STAN/Pyro | STAN                |
-| Company    | PyMC Labs           | Google          | Meta                  | Uber      | Recast              |
-| Open source| ✅                  | ✅              | ✅                    | ✅       | ❌                 |
-| Model   | 🏗️ Build            | 🏗️ Build        |  🏗️ Build       | 🏗️ Build        | 🛒 Buy               |
+| Language   | Python              | Python          | R                     | Python    | Python              |
+| Approach | Bayesian            | Bayesian        |  Traditional ML    | Bayesian | Bayesian            |
+| Foundation | PyMC                | NumPyro/JAX     |                       | STAN/Pyro | Tensor Flow Probability                |
+| Company    | PyMC Labs           | Google          | Meta                  | Uber      | Google              |
+| Open source| ✅                  | ✅              | ✅                    | ✅       | ✅                  |
+| Model   | 🏗️ Build            | 🏗️ Build        |  🏗️ Build       | 🏗️ Build        | 🏗️ Build               |
 | Budget optimizer | ✅ | ✅ |   ✅        |   ❌        |    ✅                  |
 | Time-varying intercept | ✅ | ❌ | ❌ | ✅ | ✅ |
-| Time-varying coefficients |  ✅ | ❌ | ❌ | ✅ | ✅ |
+| Time-varying coefficients |  ✅ | ❌ | ❌ | ✅ | ❌  |
 | Custom priors | ✅ | ✅ | ❌ | ❌ | ✅ |
 | Lift-test calibration | ✅  | ❌ | ✅ | ❌ | ✅ |
-| Out of sample predictions | ✅ | ✅ | ❌ | ✅ | ✅ |
+| Out of sample predictions | ✅ | ✅ | ❌ | ✅ | ❌ |
 | Unit-tested | ✅ | ✅ | ❌ | ✅ | ✅ |