tidyLPA
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data-edu
Easily carry out Latent Profile Analysis (LPA) using open-source or commercial software
`## An analytic hierarchy process, based on the fit indices AIC, AWE, BIC, CLC, and KIC (Akogul & Erisoglu, 2017), suggests the best solution is Model 1 with 6 classes.`
I have MPlus installed, and can use it, but get a message that MPlus is not installed. I have seen this before but haven't followed up. I wonder if it's...
``` r library(tidyLPA) #> You can use the function citation('tidyLPA') to create a citation for the use of {tidyLPA}. #> Mplus is not installed. Use only package = 'mclust' when...
I'd like to add a `...` argument to `single_imputation()` so that the imputation methods can be configured (e.g., number of iterations for missForest). **Current** (R/missing_data.R) ``` r single_imputation
In the introductory vignette, one chunk seems to be missing. At the part "**Getting data**" it is not clear, how someone selects only two variables, and the third is still...
It is possible to plot the output from a single model, e.g.: ``` iris_sample % estimate_profiles(n_profiles = 1:2, models = 1:2) plot_profiles(estimated_models[[1]])) ``` But the list indexing may be a...
Here is the documentation: ``` plot_profiles( x, variables = NULL, ci = 0.95, sd = TRUE, add_line = TRUE, rawdata = TRUE, bw = FALSE, alpha_range = c(0, 0.1), ......