Description Usage Arguments Value
Do logistic regression to get a single ensemble member's 'a' coefficients. Uses a penalized/Firth linear regression to handle quasi- or complete separation Telemetry within given tolerance of 1 are assumed to be clipped glm and lm omit NA values by default
1 | get_lr(fc, tel, form, A_transform, percent_clipping_threshold)
|
fc |
Vector of training forecast data on [0,1] |
tel |
Vector of telemetry data on [0,1] |
form |
Formula in terms of x,y for logistic regression model |
A_transform |
A function for pre-transforming the forecast data (optional), e.g. function(X) return(log(x)+1) |
percent_clipping_threshold |
Percentage threshold for determining if clipping is occurring |
Summary of the glm model
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