Read and write access to PNG image files using the LodePNG
    library. The package has no external dependencies.

Genome-wide association (GWAS) analyses
  of a biomarker that account for the limit of detection.

Data sets for Chirok Han (2024, ISBN:979-11-303-1964-3,
  "Lectures on Econometrics"). Students, teachers, and self-learners will
  find the data sets essential for replicating the results in the book.

Estimate model parameters to determine whether two compounds have synergy, antagonism, or Loewe's Additivity.

Alternate font rendering is useful when rendering text to novel
   graphics outputs where modern font rendering is not available or 
   where bespoke text positioning is required. Bitmap and vector fonts allow for 
   custom layout and rendering using pixel coordinates and line drawing.  
   Formatted text is created as a data.frame of pixel coordinates (for bitmap fonts)
   or stroke coordinates (for vector fonts).  All text can be easily 
   previewed as a matrix or raster image.  
   A selection of fonts is included with this package.

Logger to keep track of informational events and errors useful for debugging.

Enables users to handle the dataset cleaning for conducting
    specific analyses with the log files from two international educational
    assessments: the Programme for International Student Assessment (PISA,
    <https://www.oecd.org/pisa/>) and the Programme for the International
    Assessment of Adult Competencies (PIAAC,
    <https://www.oecd.org/skills/piaac/>). An illustration of the analyses can be
    found on the LOGAN Shiny app (<https://loganpackage.shinyapps.io/shiny/>) on
    your browser.

Methods for fitting log-link GLMs and GAMs to binomial data,
    including EM-type algorithms with more stable convergence properties than standard methods.

Software for computing a log-concave (maximum likelihood) estimator for independent and identically distributed data in any number of dimensions. For a detailed description of the method see Cule, Samworth and Stewart (2010, Journal of Royal Statistical Society Series B, <doi:10.1111/j.1467-9868.2010.00753.x>).