Description: Contains a collection of useful
functions for basic data computation and manipulation,
wrapper functions for generating 'ggplot2' graphics,
including statistical model diagnostic plots, methods
for computing statistical models quality measures (such
as AIC, BIC, r squared, root mean squared error) and
Imports: cowplot, dplyr (>= 1.0.0), ggplot2, glue, grDevices, methods,
purrr, rlang (>= 0.4.6), rsample, stats, tibble, tidyselect,
Suggests: covr, devtools, forcats, fs, git2r, knitr, lme4, rmarkdown,
Packaged: 2021-02-19 15:41:15 UTC; lucasveras

Packaged: 2021-04-05 14:55:57 UTC; lucasveras

Description: Estimate, fit and compare Structural Equation Models (SEM) and network models (Gaussian Graphical Models; GGM) using OpenMx. Allows for two possible generalizations to include GGMs in SEM: GGMs can be used between latent variables (latent network modeling; LNM) or between residuals (residual network modeling; RNM).
Imports: glasso, qgraph, Matrix, psych, mvtnorm, parallel, corpcor,
Packaged: 2016-09-30 15:18:31 UTC; sachaepskamp

Packaged: 2017-03-27 22:28:51 UTC; sachaepskamp

Description: Estimate, fit and compare Structural Equation Models (SEM) and network models (Gaussian Graphical Models; GGM) using OpenMx. Allows for two possible generalizations to include GGMs in SEM: GGMs can be used between latent variables (latent network modeling; LNM) or between residuals (residual network modeling; RNM). For details, see Epskamp, Rhemtulla and Borsboom (2017) <doi:10.1007/s11336-017-9557-x>.
Packaged: 2017-09-02 16:56:45 UTC; sachaepskamp

Packaged: 2018-04-25 08:22:06 UTC; sachaepskamp

Packaged: 2018-11-15 02:20:07 UTC; sachaepskamp

Packaged: 2019-06-21 07:07:28 UTC; sachaepskamp

Packaged: 2016-11-25 10:03:50 UTC; sachaepskamp

Description: This package implements letter value boxplots which extend the standard boxplot to deal with larger data.
Packaged: Sat Sep 16 17:33:14 2006; hadley

Description: Implements the letter value 'boxplot' which extends the standard
'boxplot' to deal with both larger and smaller number of data points
by dynamically selecting the appropriate number of letter values to display.
person("Heike", "Hofmann", , "hofmann@iastate.edu", "aut")
Imports: ggplot2 (>= 2.0.0), grid, RColorBrewer