The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The purpose of this vignette is to facilitate benchmarking the output from the use of two packages, MPlus (via the MplusAutomation package) and mclust (via the mclust package). As CRAN does not allow for MPlus to be used, this vignette is not rendered, but can be rendered on your own computer as long as you have MPlus (and MplusAutomation) installed. Please note that MPlus must be installed on your computer for this vignette to run.
library(tidyLPA)
library(dplyr)
%>%
iris select(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width) %>%
estimate_profiles(n_profiles = 2) %>%
get_fit() %>%
as.data.frame()
%>%
iris select(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width) %>%
estimate_profiles(n_profiles = 2, package = "mplus") %>%
get_fit() %>%
as.data.frame()
library(tidyLPA)
library(dplyr)
%>%
iris select(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width) %>%
estimate_profiles(n_profiles = 2:4, models = c(1, 2, 3, 6)) %>%
get_fit() %>%
as.data.frame()
%>%
iris select(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width) %>%
estimate_profiles(n_profiles = 2:4, models = c(1, 2, 3, 6),
package = "mplus") %>%
get_fit() %>%
as.data.frame()
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.