Mikis Stasinopoulos <mikis.stasinopoulos@gamlss.org>, Bob
Rigby <r.rigby@londonmet.ac.uk>
R (>= 2.2.1), gamlss.dist, gamlss (>= 5.0-0), methods

R (>= 2.4.0), gamlss, colorspace, Matrix

Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby <r.rigby@londonmet.ac.uk>, Paul Eilers
<{p.eilers@erasmusmc.nl>

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

Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby <r.rigby@londonmet.ac.uk>, Paul Eilers
<p.eilers@erasmusmc.nl>

R (>= 2.15.0), gamlss (>= 2.4.0), colorspace, Matrix, MASS,
rgenoud, zoo, gamlss.add (>= 2.4.0)

R (>= 2.15.0), gamlss (>= 2.4.0), colorspace, Matrix, MASS,
rgenoud, zoo, gamlss.add (>= 2.15.0), spam

Extra Functions For GAMLSS And Others Models
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk>, Paul Eilers <p.eilers@erasmusmc.nl>

Extra functions for GAMLSS and others models.
R (>= 2.15.0), gamlss.dist, gamlss (>= 4.3.3), zoo, stats,
methods, graphics, grDevices

Bimodal Skew Symmetric Normal Distribution
Abu Hossain, Robert Rigby, Mikis Stasinopoulos
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>.

Generalized additive mixed models using mgcv and lme4
Fit generalized additive mixed models via a version of
mgcv's gamm function, using lme4 for estimation via Fabian
Scheipl's trick.

Fit generalized additive mixed models via a version of
mgcv's gamm function, using lme4 for estimation.

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

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