Packaged: 2018-10-07 13:02:07 UTC; MikisStasinopoulos

Packaged: 2020-07-13 11:07:11 UTC; dimitriosstasinopoulos

Description: Extra utilities for GAMLSS models.
Depends: R (>= 2.4.0), gamlss, colorspace, Matrix

Depends: R (>= 2.4.0), gamlss, colorspace, Matrix, MASS

Depends: R (>= 2.15.0), gamlss (>= 2.4.0), colorspace, Matrix, MASS,

rgenoud, zoo, gamlss.add (>= 2.15.0), spam

Description: Extra Functions For GAMLSS And Others Models
Depends: R (>= 2.15.0), gamlss.dist, gamlss (>= 4.3.3), zoo
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk>, Paul Eilers <p.eilers@erasmusmc.nl>

Description: Extra functions for GAMLSS and others models.
Depends: R (>= 2.15.0), gamlss.dist, gamlss (>= 4.3.3), zoo, stats,

Title: Bimodal Skew Symmetric Normal Distribution
Author: Abu Hossain, Robert Rigby, Mikis Stasinopoulos
Description: 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>.

Title: Generalized additive mixed models using mgcv and lme4
Description: Fit generalized additive mixed models via a version of
mgcv's gamm function, using lme4 for estimation via Fabian

mgcv's gamm function, using lme4 for estimation.

Title: Generalized Additive Mixed Models using 'mgcv' and 'lme4'
Description: Estimate generalized additive mixed models via a version of
function gamm() from 'mgcv', using 'lme4' for estimation.

Title: Comparing Nonlinear Curves and Surface Estimations by
Description: To compare nonlinear curves and surface estimations between groups using semiparametric methods for cross-sectional and longitudinal dataset.
Imports: gamm4, mgcv, doParallel, foreach, parallel, plotly, Matrix,

Title: Generalized additive mixed model analysis via slice sampling
Description: Uses a slice sampling-based Markov chain Monte Carlo to
conduct Bayesian fitting and inference for generalized additive
mixed models (GAMM).  Generalized linear mixed models and
generalized additive models are also handled as special cases
Depends: R(>= 2.13), KernSmooth, lattice, mgcv