Use R to make requests to the US Census Bureau's International Data Base API.
             Results are returned as R data frames.  For more information about the IDB API, visit
             <https://www.census.gov/data/developers/data-sets/international-database.html>.

The digits of the old version (before 2000 year) of 'Chinese ID Card Number' is 15, this package aims to update to the current version of 18 digits. Besides, this package can help check whether the given 'ID' is right or not.

Provides access to the 
    Idea Data Center (IDC) application for conducting 
    nonresponse bias analysis (NRBA). The IDC NRBA app is an
    interactive, browser-based Shiny application that can be used to 
    analyze survey data with respect to response rates,
    representativeness, and nonresponse bias. This app provides a user-friendly
    interface to statistical methods implemented by the 'nrba' package.
    Krenzke, Van de Kerckhove, and Mohadjer (2005) 
    <http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf>
    and Lohr and Riddles (2016) 
    <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR>
    provide an overview of the statistical methods implemented in the application.

Identifiers in biological databases connect different levels
    of metadata, phenotype data or genotype data. This tool is designed to
    easily convert identifiers within or between different biological
    databases (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557>).

The Integro-Difference Equation model is a linear, dynamical model used to model
   phenomena that evolve in space and in time; see, for example, Cressie and Wikle (2011,
   ISBN:978-0-471-69274-4) or Dewar et al. (2009) <doi:10.1109/TSP.2008.2005091>. At the
   heart of the model is the kernel, which dictates how the process evolves from one time
   point to the next. Both process and parameter reduction are used to facilitate computation,
   and spatially-varying kernels are allowed. Data used to estimate the parameters are assumed
   to be readings of the process corrupted by Gaussian measurement error. Parameters are fitted
   by maximum likelihood, and estimation is carried out using an evolution algorithm.