Correct typo

monty.qmd

@@ -58,7 +58,7 @@ plot(l,
 
 ## Sampling from our example distribution
 
-We now want to sample from this model, using the `monty_sample()` function. For this we need to tell `monty` which sampler we want to use to explore our distribution. There are a variety of samplers avalaible and you can learn about them in @sec-samplers. One of the simplest is the random walk [Metropolis-Hastings](https://en.wikipedia.org/wiki/Metropolis%E2%80%93Hastings_algorithm) algorithm that should work almost out of the box (though not necesseraly efficiently) in most cases.
+We now want to sample from this model, using the `monty_sample()` function. For this we need to tell `monty` which sampler we want to use to explore our distribution. There are a variety of samplers available and you can learn about them in @sec-samplers. One of the simplest is the random walk [Metropolis-Hastings](https://en.wikipedia.org/wiki/Metropolis%E2%80%93Hastings_algorithm) algorithm that should work almost out of the box (though not necesseraly efficiently) in most cases.
 
 The random walk sampler uses a variance-covariance (VCV) matrix to guide its exploration, determining the 'jump' from the current point to the next in a random walk by drawing from a multivariate normal distribution parameterised by this matrix. For a single-parameter model, we use a 1x1 matrix (`matrix(1)`) as our VCV matrix.