The dirichletprocess package provides software for creating flexible Dirichlet process objects. Users can perform nonparametric Bayesian analysis using Dirichlet processes without the need to program their own inference algorithms. Instead, the user can utilise our pre-built models or specify their own models whilst allowing the dirichletprocess package to handle the Markov chain Monte Carlo sampling. Our Dirichlet process objects can act as building blocks for a variety of statistical models including: density estimation, clustering and prior distributions in hierarchical models.

翻译：dirichletprocess包提供了创建灵活狄利克雷过程对象的软件工具。用户无需自行编写推理算法，即可使用狄利克雷过程进行非参数贝叶斯分析。用户可利用我们预构建的模型或自定义模型，同时由dirichletprocess包处理马尔可夫链蒙特卡洛采样。我们的狄利克雷过程对象可作为多种统计模型的构建模块，包括：密度估计、聚类分析以及层次模型中的先验分布。