log_odds: Log-odds Transformation
In dcm2: Calculating the M2 Model Fit Statistic for Diagnostic Classification Models
log_odds R Documentation
Log-odds Transformation
Description
These functions implement the log-odds (or logit) transformation. This is a
common transformation for psychometric models that is used to put
probabilities on a continuous scale.
Usage
logit(x)
inv_logit(x)
Arguments
x
A number to be transformed
Value
A transformed double
Examples
logit(0.6)
logit(0.5)
inv_logit(3.5)
inv_logit(0)
dcm2 documentation built on April 1, 2023, 12:14 a.m.
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| log_odds | R Documentation |
Log-odds Transformation
Description
These functions implement the log-odds (or logit) transformation. This is a common transformation for psychometric models that is used to put probabilities on a continuous scale.
Usage
logit(x)
inv_logit(x)
Arguments
x |
A number to be transformed |
Value
A transformed double
Examples
logit(0.6)
logit(0.5)
inv_logit(3.5)
inv_logit(0)
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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