'R' Bindings for 'TMB'
Convert R object to AD
AD apply functions
AD complex numbers
AD aware numeric constructors
AD adjoint code from R
AD matrix methods (sparse and dense)
Enable extra RTMB convenience methods
The AD vector and its methods
Distributions and special functions for which AD is implemented
Matrix exponential of sparse matrix multiplied by a vector.
Distributional assignment operator
Interpolation
Multivariate Gaussian densities
Recursive quantile residuals
RTMB: R bindings for 'TMB'
Simulation
The AD tape
Interface to TMB
Native 'R' interface to 'TMB' (Template Model Builder) so models can be written entirely in 'R' rather than 'C++'. Automatic differentiation, to any order, is available for a rich subset of 'R' features, including linear algebra for dense and sparse matrices, complex arithmetic, Fast Fourier Transform, probability distributions and special functions. 'RTMB' provides easy access to model fitting and validation following the principles of Kristensen, K., Nielsen, A., Berg, C. W., Skaug, H., & Bell, B. M. (2016) <DOI:10.18637/jss.v070.i05> and Thygesen, U.H., Albertsen, C.M., Berg, C.W. et al. (2017) <DOI:10.1007/s10651-017-0372-4>.