Presents a series of molecular and genetic routines in the R
    environment with the aim of assisting in analytical pipelines before
    and after the use of 'asreml' or another library to perform analyses such
    as Genomic Selection or Genome-Wide Association Analyses. 
    Methods and examples are described in Gezan, Oliveira, Galli, and Murray (2022) 
    <https://asreml.kb.vsni.co.uk/wp-content/uploads/sites/3/ASRgenomics_Manual.pdf>.

Functions to model and decompose time series into principal components using singular spectrum analysis (de Carvalho and Rua (2017) <doi:10.1016/j.ijforecast.2015.09.004>; de Carvalho et al (2012) <doi:10.1016/j.econlet.2011.09.007>).

Provides ready-to-use datasets from the Korean National Assembly
    (assemblies 20 through 22, 2016-2026) for teaching quantitative methods in
    political science. Includes legislator metadata, bill proposals, roll call
    votes, asset declarations, and policy seminar records. Designed as a Korean
    politics counterpart to packages like 'palmerpenguins', enabling students to
    practice regression, panel data analysis, text analysis, and network analysis
    with real legislative data. Roll call vote data and spatial voting models are
    described in Poole and Rosenthal (1985) <doi:10.2307/2111172>. Legislative
    data is sourced from the Korean National Assembly Open API.

Lightweight validation tool for checking function arguments and 
  validating data analysis scripts. This is an alternative to stopifnot() from 
  the 'base' package  and to assert_that() from the 'assertthat' package. It 
  provides more informative error messages and facilitates debugging.

Simple, flexible, assertions on data.frame or data.table objects with verbose output for vetting. While other assertion packages apply towards more general use-cases, assertable is tailored towards tabular data. It includes functions to check variable names and values, whether the dataset contains all combinations of a given set of unique identifiers, and whether it is a certain length. In addition, assertable includes utility functions to check the existence of target files and to efficiently import multiple tabular data files into one data.table.