Author: Daniel Caro <daniel.caro@education.ox.ac.uk>, Przemyslaw Biecek <przemyslaw.biecek@gmail.com>
Description: Provides tools for importing, merging, and analysing data from international assessment studies (TIMSS, PIRLS, PISA and PIAAC)
Depends: memisc, foreign, plyr, ggplot2, reshape

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

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

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

international assessment studies (TIMSS, PIRLS, PISA, ICILS, and PIAAC).

Imports: dplyr, foreign, ggplot2, Hmisc, memisc, plyr, reshape, stats,

Title: 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'
Imports: graphics, magrittr, MASS, stats

Imports: gam, graphics, lattice, leaps, magrittr, MASS, nlme, nnet,

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'

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

Title: Threshold regression that fits the (randomized drift) inverse
Description: 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.