Extract Saccades via an Ensemble of Methods Approach
A modular and extendable approach to extract (micro)saccades from gaze samples via an ensemble of methods.
Although there is an agreement about a general definition of a saccade, the more specific details are harder to agree upon.
Therefore, there are numerous algorithms that extract saccades based on various heuristics, which differ in the assumptions about velocity,
acceleration, etc. The package uses three methods (Engbert and Kliegl (2003) <doi:10.1016/S0042-6989(03)00084-1>,
Otero-Millan et al. (2014)<doi:10.1167/14.2.18>, and Nyström and Holmqvist (2010) <doi:10.3758/BRM.42.1.188>)
to label individual samples and then applies a majority vote approach to identify saccades. The package includes three
methods but can be extended via custom functions. It also uses a modular approach to compute velocity and
acceleration from noisy samples. Finally, you can obtain methods votes per gaze sample instead of saccades.
R (>= 4.1.0), dplyr, rlang, cluster, signal, tidyr
rmarkdown, knitr, ggplot2, spelling, testthat (>= 3.0.0)

Verify the Scale, Anisotropy and Direction of Weather Forecasts
person(given = "Sebastian",
family = "Buschow",
role = c("aut", "cre"),
email = "s6sebusc@uni-bonn.de",
comment = c(ORCID = "0000-0003-4750-361X"))
Implementation of the wavelet-based spatial verification method of Buschow and Friederichs "SAD: Verifying the Scale, Anisotropy and Direction of precipitation forecasts" (2020, submitted to QJRMS). Forecasts and Observations are transformed by a decimated or redundant dual-tree complex wavelet transform to analyze the spatial scale, degree of anisotropy and preferred direction in each field. These structural attributes are compared by a series of scores. An experimental algorithm for the correction of these errors is included as well.
Sebastian Buschow [aut, cre] (<https://orcid.org/0000-0003-4750-361X>)

Provides the density, distribution, quantile and generation functions of some obscure probability
distributions, including the doubly non-central t and F distributions;
Lecoutre's lambda-prime and K-prime; the upsilon distribution; the (weighted) sum of
non-central chi-squares to a power.
PDQutils (>= 0.1.1), hypergeo, orthopolynom
'cumulants.r' 'dnf.r' 'dnt.r' 'kprime.r' 'lambdap.r'
'moments.r' 'sadists.r' 'sumchisqpow.r' 'upsilon.r' 'utils.r'