Generating population projections for all countries of the world using several probabilistic components, such as total fertility rate and life expectancy (Raftery et al., 2012 <doi:10.1073/pnas.1211452109>).

Dries F. Benoit, Keming Yu, Dirk Van den Poel
Bayesian quantile regression using the asymmetric Laplace
distribution, both continuous as well as binary dependent
variables are supported. The package consists of
implementations of the methods of Yu & Moyeed (2001) and Benoit
& Van den Poel (2011).

Dries F. Benoit, Rahim Al-Hamzawi, Keming Yu, Dirk Van den Poel

Bayesian quantile regression using the asymmetric Laplace
distribution, both continuous as well as binary dependent
variables are supported. The package consists of
implementations of the methods of Yu & Moyeed (2001), Benoit &
Van den Poel (2011) and Alhamzawi, Yu & Benoit (2011).

Bayesian quantile regression using the asymmetric Laplace
distribution, both continuous as well as binary dependent
variables are supported. The package consists of
implementations of the methods of Yu & Moyeed (2001), Benoit &
Van den Poel (2012) and Al-Hamzawi, Yu & Benoit (2012). To
speed up the calculations, the Markov Chain Monte Carlo core of
all algorithms is programmed in Fortran and called from R.

Bayesian quantile regression using the asymmetric Laplace distribution, both continuous as well as binary dependent variables are supported. The package consists of implementations of the methods of Yu & Moyeed (2001), Benoit & Van den Poel (2012) and Al-Hamzawi, Yu & Benoit (2012). To speed up the calculations, the Markov Chain Monte Carlo core of all algorithms is programmed in Fortran and called from R.

Bayesian quantile regression using the asymmetric Laplace distribution, both continuous as well as binary dependent variables are supported. The package consists of implementations of the methods of Yu & Moyeed (2001) <doi:10.1016/S0167-7152(01)00124-9>, Benoit & Van den Poel (2012) <doi:10.1002/jae.1216> and Al-Hamzawi, Yu & Benoit (2012) <doi:10.1177/1471082X1101200304>. To speed up the calculations, the Markov Chain Monte Carlo core of all algorithms is programmed in Fortran and called from R.