Support ecological analyses such as ordination and clustering. 
    Contains consistent and easy wrapper functions of 'stat', 'vegan', and 
    'labdsv' packages, and visualisation functions of ordination and clustering.

Fits Leroux model in spectral domain to estimate causal spatial effect as detailed in 
             Guan, Y; Page, G.L.; Reich, B.J.; Ventrucci, M.; Yang, S; (2020) <arXiv:2012.11767>.  
             Both the parametric and semi-parametric models are available.  The semi-parametric model 
             relies on 'INLA'.  The 'INLA' package can be obtained from <https://www.r-inla.org/>.

Provides an interface to the 'European Central Bank's Statistical
    Data Warehouse' API <https://sdw.ecb.europa.eu/>, allowing for programmatic 
    retrieval of a vast quantity of statistical data.

If translate English or Chinese sentence, there is a faster 
    way for R user. You can pass in an English or Chinese sentence, ecce 
    package support both English and Chinese translation. It also support 
    browse translation results in website. In addition, also support obtain 
    the pinyin of the Chinese character, you can more easily understand 
    the pronunciation of the Chinese character.

Data sets for econometrics, including political science.

Computes and plots a transformed empirical CDF (ecdf) as a
    diagnostic for heavy tailed data, specifically data with power law decay on the
    tails.  Routines for annotating the plot, comparing data to a model, fitting a
    nonparametric model, and some multivariate extensions are given.

The production of certified reference materials (CRMs) requires 
    various statistical tests depending on the task and recorded data to ensure 
    that reported values of CRMs are appropriate. 
    Often these tests are performed according to the procedures described in 
    'ISO GUIDE 35:2017'. The 'eCerto' package contains a 'Shiny' app which 
    provides functionality to load, process, report and backup data recorded 
    during CRM production and facilitates following the recommended procedures.
    It is described in Lisec et al (2023) <doi:10.1007/s00216-023-05099-3> and
    can also be accessed online <https://apps.bam.de/shn00/eCerto/> without 
    package installation.