Helper functions and example data sets to facilitate the estimation of IRTree models from data with different shape and using different software.

Estimation of reliability coefficients for ability estimates and sum scores from item response theory models as defined in Cheng, Y., Yuan, K.-H. and Liu, C. (2012) <doi:10.1177/0013164411407315> and Kim, S. and Feldt, L. S. (2010) <doi:10.1007/s12564-009-9062-8>. The package supports the 3-PL and generalized partial credit models and includes estimates of the standard errors of the reliability coefficient estimators, derived in Andersson, B. and Xin, T. (2018) <doi:10.1177/0013164417713570>.

Interactive shiny application for running Item Response Theory
    analysis. Provides graphics for characteristic and information curves.

The ISA is a biclustering algorithm that finds modules 
  in an input matrix. A module or bicluster is a block of the
  reordered input matrix.

We provide data sets used in the forthcoming textbook "Introduction to Sports Analytics using R" by Elmore and Urbaczweski (2024). The package currently contains sixteen datasets and should be published in early 2024.

Reads the output of the 'PerkinElmer InForm' software <http://www.perkinelmer.com/product/inform-cell-analysis-one-seat-cls135781>. In addition to cell-density count, it can derive statistics of intercellular spatial distance for each cell-type.

ISA is a metadata framework to manage an increasingly diverse set 
    of life science, environmental and biomedical experiments. In isatabr 
    methods for reading, modifying and writing of files in the ISA-Tab format
    are implemented. It also contains methods for processing assay data.

Implementation of functions to assign corresponding common job prestige scores (SIOPS, ISEI), the official job or group title and the ISCO-88 code to given ISCO-08 codes. ISCO-08 is the latest version of the International Standard Classification of Occupations which is used to organise information on labour and jobs.

Allows the user to perform approximate
 matching between the occupational classifications using concordances provided by
 the Institute for Structural Research and Faculty of Economics, University of
 Warsaw, <doi:10.1111/ecot.12145>. The crosswalks offer a complete
 step-by-step mapping of Standard Occupational Classification (2010) data to the
 International Standard Classification of Occupations (2008). We propose a
 mapping method based on the aforementioned research that converts measurements
 to the smallest possible unit of the target taxonomy, and then performs an
 aggregation/estimate to the requested degree Occupational Hierarchical level.