are used in the case d=1, d=2, d=3, d>3, if d denotes the dimensionality.

possibly truncated (on one side or two sides),  and for generating random
vectors sampled from these distributions, except sampling from the truncated
"t". Moments of arbitrary order of a multivariate truncated normal are
computed, and converted to cumulants up to order 4.

person("Aurelie", "Calabrese", email = "acalabre@umn.edu", role = c("aut", "cre")),
person("J. Steve", "Mansfield", email = "steve.mansfield@plattsburgh.edu", role = "aut"),
person("Gordon E.", "Legge", email = "legge@umn.edu", role = "aut")
Description: Allows to analyze MNREAD data. The MNREAD Acuity Charts are
continuous text reading acuity charts for normal and low vision.
Provides the necessary functions to estimate automatically
the four MNREAD parameters: Maximum Reading Speed,
Critical Print Size, Reading Acuity and Reading Accessibility Index
(Calabrese et al (2016) <doi:10.1001/jamaophthalmol.2015.6097>).

person("Aurélie", "Calabrèse", email = "acalabre@umn.edu", role = c("aut", "cre")),
Description: Allows to analyze reading data obtained with the MNREAD Acuity
Chart, a continuous-text reading acuity chart for normal and low vision.
Provides the necessary functions to estimate automatically the four MNREAD
parameters: Maximum Reading Speed, Critical Print Size, Reading Acuity
Ref: Calabrese et al. 2016 <doi:10.1001/jamaophthalmol.2015.6097>.

Title: MNREAD Parameters Estimation and Curve Plotting
Description: Allows to analyze the reading data obtained with the MNREAD Acuity
Provides the necessary functions to plot the MNREAD curve and estimate
automatically the four MNREAD parameters: Maximum Reading Speed,
Critical Print Size, Reading Acuity and Reading Accessibility Index.
Reference: Calabrese et al. 2016 <doi:10.1001/jamaophthalmol.2015.6097>.

Parameters can be estimated either with the standard method
or with a nonlinear mixed-effects (NLME) modeling.
See Calabrese et al. 2018 for more details <doi.org/10.1167/18.1.8>.
Depends: R (>= 2.10), dplyr, tidyr, ggplot2