simple and scalable statistical modelling in R

**simple**

greta models are written right in R, so there’s no need to learn another language like BUGS or Stan

**scalable**

greta uses Google TensorFlow so it’s fast even on massive datasets, and runs on CPU clusters and GPUs

**extensible**

it’s easy to write your own R functions, modules, and even packages using greta

Here’s a Bayesian linear regression model fit to the `iris`

data using greta:

`library(greta)`

```
x <- iris$Petal.Length
y <- iris$Sepal.Length
int = normal(0, 5)
coef = normal(0, 3)
sd = lognormal(0, 3)
mean <- int + coef * x
distribution(y) = normal(mean, sd)
```

`m <- model(int, coef, sd)`

```
draws <- mcmc(m, n_samples = 1000)
bayesplot::mcmc_trace(draws)
```