'Open Location Codes' <http://openlocationcode.com/>
    are a Google-created standard for identifying geographic locations. 'olctools' provides
    utilities for validating, encoding and decoding entries that follow this
    standard.

An implementation of the Rapid Assessment Method for Older People
    or RAM-OP <https://www.helpage.org/resource/rapid-assessment-method-for-older-people-ramop-manual/>.
    It provides various functions that allow the user to design and plan the
    assessment and analyse the collected data. RAM-OP provides accurate and
    reliable estimates of the needs of older people.

A collection of functions to facilitate analysis of proteomic
    data from Olink, primarily NPX data that has been exported from Olink
    Software. The functions also work on QUANT data from
    Olink by log- transforming the QUANT data. The functions are focused
    on reading data, facilitating data wrangling and quality control
    analysis, performing statistical analysis and generating figures to
    visualize the results of the statistical analysis. The goal of this
    package is to help users extract biological insights from proteomic
    data run on the Olink platform.

Exemplifying analysis of large-scale protein
    data from the 'Olink platform', primarily relative protein expression
    data that has been exported from
    'Olink NPX Software', as well as QUANT data from 'Olink'.
    QUANT data is log-transformed. Materials focus on reading data, 
    demonstrating data wrangling and quality control analysis,
    performing statistical analysis and generating
    figures to visualize the results of the statistical analysis. 
    The goal of this package is to guide users extract biological insights 
    from large-scale protein data run on the 'Olink platform'.
    More information on 'Olink' data can be found at <https://olink.com/>.

An interface to easily run local language models with 'Ollama' <https://ollama.com> server
    and API endpoints (see <https://github.com/ollama/ollama/blob/main/docs/api.md> for details). It lets 
    you run open-source large language models locally on your machine.