Estimation of Tree-Based Item Response Models
Helper functions and example data sets accompanying De
Boeck, P. and Partchev, I. (2012) IRTrees: Tree-Based Item
Response Models of the GLMM Family, Journal of Statistical
Software - Code Snippets, 48(1), 1-28.

Zhaojun Li, Ivailo Partchev and Paul De Boeck
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>.

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.

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.

ISA-Tab (Investigation/Study/Assay (ISA) tab-delimited (TAB) format) is a
general purpose framework for storing complex metadata in omics
applications. It is notoriously hard to manipulate due to the fact that
it is a graph rather than a tab-delimited data frame. The 'isaeditor' package is meant
to facilitate reading, writing, displaying, manipulating, modifying and populating
ISA-Tab files in R.
colorDF, crayon, tibble, dplyr, glue, tidyr, readr, magrittr,
methods, rlang

Implementation for the ISA Abstract Model
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.
c(
person("Bart-Jan", "van Rossum", role = c("aut", "cre"),
email = "bart-jan.vanrossum@wur.nl",
comment = c(ORCID = "0000-0002-8673-2514")),
person("Maikel", "Verouden", role = c("aut"),
email = "maikel.verouden@wur.nl",
comment = c(ORCID = "0000-0002-4893-3323")))
tinytest, affy, Biobase, xcms, knitr, rmarkdown
Bart-Jan van Rossum [aut, cre]
(<https://orcid.org/0000-0002-8673-2514>),
Maikel Verouden [aut] (<https://orcid.org/0000-0002-4893-3323>)