test.balsos: Testing Measurement Level Assumptions.
In DAMisc: Dave Armstrong's Miscellaneous Functions
Description
Usage
Arguments
Value
Author(s)
Description
Uses the algorithm discussed in Armstrong and Jacoby 2018) to test the
intervality of a variable scaled by the Bayesian ALSOS method.
Usage
1
test.balsos(obj, cor.type = c("pearson", "spearman"))
Arguments
obj
An object of class balsos.
cor.type
Type of correlation to be used in the p-value calculation.
Value
Printed output giving the Bayesian p-value evaluating the null that
ther eis no interesting difference between the original values and the
optimally scaled values.
Author(s)
Dave Armstrong
DAMisc documentation built on Jan. 12, 2022, 1:07 a.m.
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Description Usage Arguments Value Author(s)
Description
Uses the algorithm discussed in Armstrong and Jacoby 2018) to test the intervality of a variable scaled by the Bayesian ALSOS method.
Usage
1 | test.balsos(obj, cor.type = c("pearson", "spearman"))
|
Arguments
obj |
An object of class |
cor.type |
Type of correlation to be used in the p-value calculation. |
Value
Printed output giving the Bayesian p-value evaluating the null that ther eis no interesting difference between the original values and the optimally scaled values.
Author(s)
Dave Armstrong
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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