Higher Order Inference for Nonlinear Heteroscedastic Models

Likelihood inference based on higher order approximations for nonlinear models with possibly non constant variance.


Reference manual

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1.2-2.2 by Alessandra R. Brazzale, 3 years ago

https://www.r-project.org, http://statwww.epfl.ch/AA/

Browse source code at https://github.com/cran/nlreg

Authors: S original by Alessandra R. Brazzale <[email protected]> and Ruggero Bellio <[email protected]>. R port by Alessandra R. Brazzale <[email protected]> , following earlier work by Douglas Bates.

Documentation:   PDF Manual  

Task views: Chemometrics and Computational Physics

GPL (>= 2) | file LICENCE license

Depends on statmod, survival

Suggests boot, cond, csampling, marg

Suggested by cond, marg.

See at CRAN