Imports: network, parallel, ggplot2, reshape2, intergraph, Matrix
Packaged: 2018-10-22 16:43:09 UTC; ianfellows

Authors@R: c(person(c("Ian","E."),"Fellows", role=c("aut","cre"), email="ian@fellstat.com"), person(c("Mark","S."),"Handcock", role="ctb"))
Packaged: 2019-01-11 01:00:25 UTC; ianfellows

Author: Thomas Ruf, partially based on C original by Press et al. (Numerical Recipes)
Description: Computes the Lomb-Scargle Periodogram for unevenly sampled time series. Includes a randomization procedure to obtain reliable p-values.

Author: Thomas Ruf, partially based on C original by Press et al. (Numerical Recipes) and the Python module Astropy.
Description: Computes the Lomb-Scargle Periodogram for unevenly sampled time series. Includes a randomization procedure to obtain exact p-values.

Imports: ggplot2, gridExtra, plotly, pracma

Title: Longitudinal Dataframes into Arrays for Machine Learning
Description: An easy tool to transform 2D longitudinal data into 3D arrays suitable for
Long short-term memory neural networks training. The array output can be
used by the 'keras' package. Long short-term memory neural networks are described
Packaged: 2022-07-16 16:35:37 UTC; jjferreira-admin
Author: Luis Garcez [aut, cre, cph] (<https://orcid.org/0000-0002-8637-7946>)

Packaged: 2022-11-28 13:30:29 UTC; jjferreira-admin

Title: Package for Plotting Categorical Longitudinal and Time-Series
Description: Package for Plotting Categorical Longitudinal and

Author: Stephen Tueller. Funded by the National Institute on Drug Abuse
(NIDA) Award number 1R03DA030850 and the National Institute on
Alcohol Abuse and Alcoholism (NIAAA) Award Number R03 AA019775.

Author: Stephen Tueller. Funded by the National Institute on Drug Abuse (NIDA) Award number 1R03DA030850 and the National Institute on Alcohol Abuse and Alcoholism (NIAAA) Award Number R03 AA019775.
Description: Package for Plotting Categorical Longitudinal and Time-Series Data

Author: Stephen Tueller. Funded by the National Institute on Drug Abuse (NIDA) Award number 1R03DA030850, the National Institute on Alcohol Abuse and Alcoholism (NIAAA) Award Number R03 AA019775, and the National Institute of Justic Award Number 2011-RY-BX-0003.
Description: Methods for plotting categorical longitudinal and time-series data by mapping individuals to the vertical space (each horizontal line represents a participant), time (or repeated measures) to the horizontal space, categorical (or discrete) states as facets using color or shade, and events to points using plotting characters. Sorting individuals in the vertical space and (or) stratifying them by groups can reveal patterns in the changes over time.