Description: Testing for and dating periods of explosive
dynamics (exuberance) in time series using the univariate and panel
recursive unit root tests proposed by Phillips et al. (2015)
algorithm utilizes the matrix inversion lemma to avoid matrix
inversion which results in significant speed improvements. Simulation
of a variety of periodically-collapsing bubble processes.
ggplot2 (>= 3.1.1), grid, gridExtra (>= 2.3), lubridate (>=

Suggests: clisymbols (>= 1.2.0), covr (>= 3.2.1), exuberdata (>=

Suggests: magrittr (>= 1.5), clisymbols (>= 1.2.0), covr (>= 3.2.1),

of a variety of periodically-collapsing bubble processes. Details can be
found in Vasilopoulos et al. (2022) <doi:10.18637/jss.v103.i10>.

person("Antoine", "Fabri", role = "ctb"))
Description: A tool to facilitate common tasks in ophthalmic research:
Conversion between different visual acuity notations (Snellen, logMAR
and ETDRS), counting of patients, recode right and left eyes and reshape
eye side specific variables between wide and long format. The 'eye'
package also contains a real life data set of people with intravitreal
injections with anti-vascular endothelial growth factor (anti-VEGF),
made available by Fasler et al. (2019) <doi:10.1136/bmjopen-2018-027441>.
Author: Tjebo Heeren [aut, cre] (<https://orcid.org/0000-0001-5297-2301>),

Description: There is no ophthalmic researcher who has not had headaches from
the handling of visual acuity entries. Different notations, untidy entries.
This shall now be a matter of the past. Eye makes it as easy as pie to work
with VA data - easy cleaning, easy conversion between
Snellen, logMAR, ETDRS letters, and qualitative visual acuity
package automates the pesky task to count number of patients and eyes,
and can help to clean data with easy re-coding for right and left eyes.
It also contains functions to help reshaping eye side specific variables
between wide and long format. Visual acuity conversion is based on
Suggests: knitr (>= 1.30), rmarkdown (>= 2.5), testthat (>= 3.0.0)

Suggests: eyedata (>= 0.1.0), knitr (>= 1.30), rmarkdown (>= 2.5),