STooDs engine v0.1.0

STooDs is a framework to build and estimate probabilistic models for data varying in Space, Time or other Dimensions. A typical STooDs case study can be described as follows:

1. The target dataset contains the values taken by one of several predictand variables varying along one or more dimensions.
2. Each variable in the dataset is assumed to follow a distribution whose parameters may vary along the same dimensions as the dataset.
3. This variability is specified by regression formulas that may use parameters, covariates and processes.

The current release is a computational engine and mostly aims at generating MCMC samples from the posterior distribution associated with the model and the data.