A multi-task learning approach to variable selection regression with highly correlated predictors and sparse effects, 
  based on frequentist statistical inference. It provides statistical evidence to identify which subsets of predictors have non-zero 
  effects on which subsets of response variables, motivated and designed for colocalization analysis across genome-wide association studies (GWAS)
  and quantitative trait loci (QTL) studies.
  The ColocBoost model is described in Cao et. al. (2025) <doi:10.1101/2025.04.17.25326042>.

Colocalisation analysis tests whether two traits share a causal
  genetic variant in a specified genomic region. Proportional testing for
  colocalisation has been previously proposed
  [Wallace (2013) <doi:10.1002/gepi.21765>], but is reimplemented here to
  overcome barriers to its adoption. Its use is complementary to the fine-
  mapping based colocalisation method in the 'coloc' package, and may be used in
  particular to identify false "H3" conclusions in 'coloc'.

Provides a comprehensive interface to access diverse public data about
    Colombia through multiple APIs and curated datasets. The package integrates
    three different APIs: 'API-Colombia' for Colombian-specific data including
    geography, culture, tourism, and government information; 'World Bank API' 
    for economic and demographic indicators; and 'Nager.Date' for public holidays.
    The package enables users to explore various aspects of Colombia such as
    geographic locations, cultural attractions, economic indicators, demographic
    data, and public holidays. Additionally, 'ColombiAPI' includes curated
    datasets covering Bogota air stations, business and holiday dates, public
    schools, Colombian coffee exports, cannabis licenses, Medellin rainfall,
    malls in Bogota, as well as datasets on indigenous languages, student
    admissions and school statistics, forest liana mortality, municipal and
    regional data, connectivity and digital infrastructure, program graduates,
    vehicle counts, international visitors, and GDP projections. These datasets
    provide users with a rich and multifaceted view of Colombian social,
    economic, environmental, and technological information, making 'ColombiAPI'
    a comprehensive tool for exploring Colombia's diverse data landscape. 
    For more information on the APIs, see:
    'API-Colombia' <https://api-colombia.com/>, 
    'Nager.Date'  <https://date.nager.at/Api>, 
    'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>.