Opens a graphical user interface to run CLME, built from the shiny package.
The UI for the shiny app in CLME
The server for the shiny app in CLME
1 2 3 4 5
input from GUI.
output to GUI.
An object of class
shiny.tag.list (inherits from
list) of length 3.
Currently the GUI does not allow specification of custom orders for the alternative hypothesis. Future versions may enable this capability. The data should be a CSV or table-delimited file with the first row being a header. Variables are identified using their column letter or number (e.g., 1 or A). Separate multiple variables with a comma (e.g., 1,2,4 or A,B,D), or select a range of variables with a dash (e.g., 1-4 or A-D). Set to 'None' (default) to indicate no covariates or random effects. If group levels for the constrained effect are character, they may not be read in the proper order. An extra column may contain the ordered group levels (it may therefore have different length than the rest of the dataset).
This function is primarily designed to be called by
By default, homogeneous variances are assumed for the residuals and (if included) random effects. Heterogeneity can be induced using the arguments
Qs, which refer to the vectors (n1, n2 ,... , nk) and (c1, c2 ,... , cq), respectively. See
clme_em for further explanation of these values.
## Not run: shiny_clme()
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