This article introduces the R package hermiter which facilitates estimation of univariate and bivariate probability density functions and cumulative distribution functions along with full quantile functions (univariate) and nonparametric correlation coefficients (bivariate) using Hermite series based estimators. The algorithms implemented in the hermiter package are particularly useful in the sequential setting (both stationary and non-stationary) and one-pass batch estimation setting for large data sets. In addition, the Hermite series based estimators are approximately mergeable allowing decentralized estimation.

翻译：本条引入了R包隐蔽器,该包隐蔽器便于估计单亚利特和双倍概率密度函数和累积分布函数,以及利用基于Hermite序列的估测器计算完整的四分位函数(单变函数)和非对数相关系数(双变系数),隐蔽器包中采用的算法在大型数据集的顺序设置(固定和非静止)和单倍批次估测设置中特别有用,此外,基于Hermite序列的估测器几乎可以合并,允许分散估算。