It allows us to fit Gaussian Markov Random Field within the
    Generalized Additive Models for Location Scale and Shape algorithms.

This is an add on package to GAMLSS. The purpose of this
        package is to allow users to defined truncated distributions in
        GAMLSS models. The main function gen.trun() generates truncated
        version of an existing GAMLSS family distribution.

Density, distribution function, quantile function and random generation for the bimodal skew symmetric normal distribution of Hassan and El-Bassiouni (2016) <doi:10.1080/03610926.2014.882950>.

Estimate generalized additive mixed models via a version of
         function gamm() from 'mgcv', using 'lme4' for estimation.

Process in-situ Gamma-Ray Spectrometry for Luminescence
    Dating. This package allows to import, inspect and correct the energy
    shifts of Gamma-ray spectra. It provides methods for estimating the
    gamma dose rate by the use of a calibration curve as described in
    Mercier and Falguères (2007).  The package only supports Canberra CNF
    and TKA files.

Performs Gamma regression, where both mean and shape parameters follows lineal regression structures.

Uses a slice sampling-based Markov chain Monte Carlo to
        conduct Bayesian fitting and inference for generalized additive
        mixed models.  Generalized linear mixed models and generalized 
        additive models are also handled as special cases of generalized
        additive mixed models. The methodology and software is described 
        in Pham, T.H. and Wand, M.P. (2018). Australian and New Zealand
        Journal of Statistics, 60, 279-330 <DOI:10.1111/ANZS.12241>.

Robust regression via gamma-divergence with L1, elastic net and ridge.

To calculate the relative risk (RR) for the generalized additive model.

Using overlap grouped-lasso penalties, 'gamsel' selects whether a term in a 'gam' is nonzero, linear, or a non-linear spline (up to a specified max df per variable). It fits the entire regularization path on a grid of values for the overall penalty lambda, both for gaussian and binomial families. See  <doi:10.48550/arXiv.1506.03850> for more details.