Flexible Marginalized Models for Binary Correlated Outcomes
c(person(given = "Jonathan",
family = "Schildcrout",
role = c("aut"),
email = "jonny.schild@vumc.org"),
person(given = "Nathaniel",
family = "Mercaldo",
role = c("aut"),
email = "nmercaldo@mgh.harvard.edu"),
person(given = "Chiara",
family = "Di Gravio",
role = c("cre"),
email = "chiara.di.gravio@vanderbilt.edu")
)
Estimates marginalized mean and dependence model parameters for correlated binary response data.
Dependence model may include transition and/or latent variable terms.
Methods are described in: Heagerty (1999) <doi:10.1111/j.0006-341x.1999.00688.x>, Heagerty (2002) <doi:10.1111/j.0006-341x.2002.00342.x>, Schildcrout and Heagerty (2007) <doi:10.1111/j.1541-0420.2006.00680.x>.
Jonathan Schildcrout [aut],
Nathaniel Mercaldo [aut],
Chiara Di Gravio [cre]

Estimates marginalized mean and dependence model parameters for correlated binary response data.
Dependence model may include transition and/or latent variable terms.
Methods are described in: Schildcrout and Heagerty (2007) <doi:10.1111/j.1541-0420.2006.00680.x>, Heagerty (1999) <doi:10.1111/j.0006-341x.1999.00688.x>, Heagerty (2002) <doi:10.1111/j.0006-341x.2002.00342.x>.

Analyzes a Binary Variable During a Time Series
c(person(given = "Thomas Mumuni",
family = "Bilintoh",
role = c("aut", "cre"),
email = "tbilintoh@clarku.edu",
comment = c(ORCID = "0000-0002-6852-4439")),
person(given = "Robert Gilmore",
family = "Pontius Jr",
role = "aut",
comment = c(ORCID = "0000-0001-7287-5875")))
A procedure to create maps, pie charts, and stacked bar plots
showing the trajectory of a binary variable during a time series.
You provide a time series of data sets as a stack of raster files or a
data frame and call the various functions in 'binaryTimeSeries' to create
your desired graphics.For more information please consult:
Pontius Jr, R. G. (2022). "Metrics That Make a Difference:
How to Analyze Change and Error" Springer Nature Switzerland AG
<doi:10.1007/978-3-030-70765-1> and
Bilintoh, T.M., (2022). "Intensity Analysis to Study the Dynamics of
reforestation in the Rio Doce Water Basin, Brazil".
Frontiers in Remote Sensing, 3 (873341), 13.
<doi:10.3389/frsen.2022.873341>.
dplyr, ggnewscale, ggplot2, graphics, grDevices, magrittr,
mice, prettymapr, raster, reshape2, stats, terra, utils
Thomas Mumuni Bilintoh [aut, cre]
(<https://orcid.org/0000-0002-6852-4439>),
Robert Gilmore Pontius Jr [aut]
(<https://orcid.org/0000-0001-7287-5875>)