r.squared.angles: A function to estimate explained variance
In tbonne/moveStan: Posterior checks for movement model building
Description
This function uses samples from a stanfit object to estimate the error between predicted and observed angles. R-squared is then estimated as 1 minus the variation in the error divided by the total variation in the observed angles.
Usage
1
r.squared.angles(model.fit, obs.angles)
Arguments
model.fit
stanfit model, containing a_pred as generated quantities: a_pred is the model predicted angle.
obs.angles
Vector of observed angles used in model fitting.
tbonne/moveStan documentation built on May 31, 2019, 4:49 a.m.
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Description
This function uses samples from a stanfit object to estimate the error between predicted and observed angles. R-squared is then estimated as 1 minus the variation in the error divided by the total variation in the observed angles.
Usage
1 | r.squared.angles(model.fit, obs.angles)
|
Arguments
model.fit |
stanfit model, containing a_pred as generated quantities: a_pred is the model predicted angle. |
obs.angles |
Vector of observed angles used in model fitting. |
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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