Data Manager of International Assessment Studies of Student
Performance
Provides tools for importing and analyzing data from
international student assessments

Provides tools for importing, merging, and analysing data
from international assessment studies (TIMSS, PIRLS, and PISA)

Provides tools for importing, merging, and analysing data from international assessment studies (TIMSS, PIRLS, and PISA)

Daniel Caro <daniel.caro@education.ox.ac.uk>, Przemyslaw Biecek <przemyslaw.biecek@gmail.com>
Provides tools for importing, merging, and analysing data from international assessment studies (TIMSS, PIRLS, PISA and PIAAC)

Provides tools for importing, merging, and analysing data from international assessment studies (TIMSS, PIRLS, PISA and PIAAC).
foreign, ggplot2, Hmisc, memisc, plyr, reshape

Provides tools for importing, merging, and analysing data from
international assessment studies (TIMSS, PIRLS, PISA. ICILS, and PIAAC).
foreign, ggplot2, Hmisc, memisc, plyr, reshape, stats, utils

Daniel Caro <dcarov@gmail.com>, Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Provides tools for importing, merging, and analysing data from
international assessment studies (TIMSS, PIRLS, PISA, ICILS, and PIAAC).

dplyr, foreign, ggplot2, Hmisc, memisc, plyr, reshape, stats,
utils

Interface to Popular R Functions for Data Science Pipelines
Interface to popular R functions with formulas, such as 'lm', so they
can be included painlessly in data science pipelines implemented by 'magrittr'
with the operator %>%.

gam, graphics, lattice, leaps, magrittr, MASS, nlme, nnet,
pls, rpart, stats, survival

Interface to popular R functions with formulas and data,
such as 'lm', so they can be included painlessly in data
science pipelines implemented by 'magrittr'
with the operator %>%.

Interval and Enum-Type Representation of Vectors
Enum-type representation of vectors and representation
of intervals, including a method of coercing variables in data frames.

Threshold regression that fits the (randomized drift) inverse
Gaussian distribution to survival data.
invGauss fits the (randomized drift) inverse Gaussian distribution to survival data. The model is described in Aalen OO, Borgan O, Gjessing HK. Survival and Event History Analysis. A Process Point of View. Springer, 2008. It is based on describing time to event as the barrier hitting time of a Wiener process, where drift towards the barrier has been randomized with a Gaussian distribution. The model allows covariates to influence starting values of the Wiener process and/or average drift towards a barrier, with a user-defined choice of link functions.