Remedies a common problem in piping: not having access to
intermediate outputs of the pipe. Within a "loop", a piping intermediate
is  stored in a stack archive, data is processed, and then both the
stored intermediate and the current output are reintegrated using an
"ending" function. Two special ending functions are provided: amend and
insert. However, any ending function can be specified, including merge
functions, join functions, setNames(), etc. This framework allows the
following work-flow: focus on a particular aspect or section of a
data set, conduct specific operations, and then reintegrate changes into
the whole.

Set of Functions to Use in Survival Analysis and in Data Science
c(person("André", "Veríssimo", email = "andre.verissimo@tecnico.ulisboa.pt", role = c("aut", "cre")),
person("Susana", "Vinga", email = "susanavinga@tecnico.ulisboa.pt", role = "aut"))
Collection of functions to improve work-flow in survival analysis and data science.
The package features include: the generation of balanced datasets, live retrieval of
protein coding genes from two public databases, generation of random
matrix based on covariance matrix, cache function to store function results.
This work was supported by two grants from the Portuguese Foundation for Science
and technology, and the EU Commission under SOUND project.
biomaRt, digest, futile.options, ggfortify, ggplot2, graphics,
grDevices, MASS, methods, dplyr, reshape2, rlang, stats
knitr, rmarkdown, devtools, roxygen2, testthat, survival
André Veríssimo [aut, cre],
Susana Vinga [aut]

digest, futile.options, ggfortify, ggplot2, graphics,
grDevices, MASS, methods, dplyr, reshape2, stats
biomaRt, knitr, rmarkdown, devtools, roxygen2, testthat,
survival

digest, futile.options, ggplot2, graphics, MASS, methods,
dplyr, reshape2

Tools for Survival Analysis and Data Science

digest, futile.options, ggplot2, graphics, MASS, methods,
httr, dplyr, reshape2
biomaRt, knitr, rmarkdown, roxygen2, testthat, survival

Logistic Regression Differential Item Functioning using IRT
Seung W. Choi, with contributions from Laura E. Gibbons and
Paul K. Crane
Analysis of Differential Item Functioning (DIF) for
dichotomous and polytomous items using an iterative hybrid of
(ordinal) logistic regression and item response theory (IRT).
R (>= 2.7.0), MASS, msm, mvtnorm, polycor, ltm, Hmisc, Design