R interface for china national data http://data.stats.gov.cn/,
some convenient functions for accessing the national data are provided.

R interface for china national data http://data.stats.gov.cn/, some convenient functions for accessing the national data are provided.

R interface for china national data <http://data.stats.gov.cn/>,
some convenient functions for accessing the national data are provided.

Random orthonormal matrix generation on the Stiefel manifold
This package simulates random orthonormal matrices from linear and quadratic exponential family distributions on the Stiefel manifold. The most general type of distribution covered is the matrix-variate  Bingham-von Mises-Fisher distribution. Most of the simulation methods are presented in Hoff(2009) "Simulation of the Matrix Bingham-von Mises-Fisher Distribution, With Applications to Multivariate and Relational Data."

Random Orthonormal Matrix Generation and Optimization on the
Stiefel Manifold
Simulation of random orthonormal matrices from linear and quadratic exponential family distributions on the Stiefel manifold. The most general type of distribution covered is the matrix-variate  Bingham-von Mises-Fisher distribution. Most of the simulation methods are presented in Hoff(2009) "Simulation of the Matrix Bingham-von Mises-Fisher Distribution, With Applications to Multivariate and Relational Data" <doi:10.1198/jcgs.2009.07177>. The package also includes functions for optimization on the Stiefel manifold based on algorithms described in Wen and Yin (2013) "A feasible method for optimization with orthogonality constraints" <doi:10.1007/s10107-012-0584-1>.

This package simulates random orthonormal matrices from
linear and quadratic exponential family distributions on the
Stiefel manifold. The most general type of distribution covered
is the matrix-variate Bingham-von Mises-Fisher distribution.
Most of the simulation methods are presented in Hoff(2009)
"Simulation of the Matrix Bingham-von Mises-Fisher
Distribution, With Applications to Multivariate and Relational
Data."