log_correction_factor: Correction factor to remove bias from log-transformation
In qdread/forestscaling: Functions and Themes for Forest Light Scaling Project
Description
Cite: Sprugel 1983 (Ecology).
Usage
1
log_correction_factor(log_y, log_y_pred, n_pars, base = exp(1))
Arguments
log_y
Log-transformed observed y-values
log_y_pred
Log-transformed fitted y-values
n_pars
Number of parameters in regression (used to calculate degrees of freedom)
base
Base of the log transformation. Default to natural logarithm.
qdread/forestscaling documentation built on Dec. 15, 2021, 12:42 a.m.
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Description
Cite: Sprugel 1983 (Ecology).
Usage
1 | log_correction_factor(log_y, log_y_pred, n_pars, base = exp(1))
|
Arguments
log_y |
Log-transformed observed y-values |
log_y_pred |
Log-transformed fitted y-values |
n_pars |
Number of parameters in regression (used to calculate degrees of freedom) |
base |
Base of the log transformation. Default to natural logarithm. |
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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