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Random numbers9 hours ago
Overview | Drawing numbers | Sampling | Densities | Each distribution owns its engine | Passing to inner functions | Order of evaluation | Limitations
Bayesian sampling with nuts11 hours ago
Overview | Example: logistic regression | Result | Options | ODE models | Notes
Derivatives at Tiny States: Michaelis-Menten12 days ago
The problem in one sentence | Michaelis-Menten | What goes wrong at tiny S | What ast2ast reports | The fix: multiply through | Rule of thumb
Detailed Documentation12 days ago
Overview | Type system in ast2ast | Setting types for function arguments | Default behavior | Using argtypes() | Borrowing, constness, and references | Setting types for variables inside the function | Static types vs. R's dynamic typing | Derivatives | Forward mode | Reverse mode | Design philosophy | Inner functions | Functionals | Optimizers | Custom types (new_type) | Interpolation
Differences to R12 days ago
Overview | No access to the enclosing environment | No recycling | Integer arguments | Integer sum | Inf, NaN and NA
Information for package authors12 days ago
Guidance for Package Authors | Compiling R files into a package: make_package | Naming rationalization ast2ast | Comparison of R and ETR code | The XPtr interface | First, one creates the external pointer of the R function. | Afterwards the external pointer is used in an R package | call the function from the R package
Inner Functions and Custom Types12 days ago
Defining a custom type | An inner function operating on the type | Translating and calling it
Jacobians: Dense, Coloured, Sparse and Banded12 days ago
Overview | Example function | Dense | Colouring | Sparse and banded | Layouts | Returned to R
Named Vectors and Layouts12 days ago
Overview | Named vectors | Matrices, arrays and collections
The Memory Model: Copy, Borrow, Ref12 days ago
Boundary 1 -- R calls the translated function | Boundary 2 -- inside f, calling an inner fn() | In one table | The short version
Hessians and Hessian-vector products21 days ago
Overview | Example: standard errors of a logistic regression | Hessian-vector products | Notes