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DESCRIPTION
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DESCRIPTION
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Type: Package
Package: tidyLPA
Title: Easily Carry Out Latent Profile Analysis (LPA) Using
Open-Source or Commercial Software
Version: 2.0.1
Authors@R:
c(person(given = c("Joshua", "M"),
family = "Rosenberg",
role = c("aut", "cre"),
email = "[email protected]"),
person(given = "Caspar",
family = "van Lissa",
role = "aut",
email = "[email protected]"),
person(given = c("Jennifer", "A"),
family = "Schmidt",
role = "ctb",
email = "[email protected]"),
person(given = c("Patrick", "N"),
family = "Beymer",
role = "ctb",
email = "[email protected]"),
person(given = "Daniel",
family = "Anderson",
role = "ctb",
email = "[email protected]"),
person(given = c("Matthew", "J."),
family = "Schell",
role = "ctb",
email = "[email protected]"))
Maintainer: Joshua M Rosenberg <[email protected]>
Description: Easily carry out latent profile analysis ("LPA"), determine the
correct number of classes based on best practices, and tabulate and plot the
results. Provides functionality to estimate commonly-specified models with
free means, variances, and covariances for each profile. Follows a tidy
approach, in that output is in the form of a data frame that can
subsequently be computed on. Models can be estimated using the free open
source 'R' packages 'Mclust' and 'OpenMx', or using the commercial program
'MPlus', via the 'MplusAutomation' package.
License: MIT + file LICENSE
URL: https://data-edu.github.io/tidyLPA/
BugReports: https://github.com/data-edu/tidyLPA/issues
Depends:
R (>= 2.10),
tidySEM (>= 0.2.0),
OpenMx,
lavaan
Imports:
dplyr,
ggplot2,
gtable,
grid,
mclust,
methods,
MplusAutomation,
tibble
Suggests:
knitr,
lme4,
missForest,
parallel,
pillar,
rmarkdown,
testthat,
mix
VignetteBuilder:
knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3