transform_to_real_line: Transform values from bounded to unbounded support through...
In kdayday/forecasting: Probabilistic Solar Forecsting
Description
Usage
Arguments
Value
View source: R/marginal_methods.R
Description
Transform values from bounded to unbounded support through probit or log transform. Assumes lower boundary is at 0.
Author: Gery Geenens and Kate Doubleday
Usage
1
transform_to_real_line(x, xmax, scale, zero_offset)
Arguments
x
A vector of samples
xmax
Maximum allowable x value.
scale
Scaling factor (0,1] to move maximum values off boundary at 1
zero_offset
Amount to shift minimum values off the boundary at 0 in the (0,1) domain
Value
The vector of transformed samples
kdayday/forecasting documentation built on Oct. 7, 2020, 7:16 p.m.
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Description Usage Arguments Value
View source: R/marginal_methods.R
Description
Transform values from bounded to unbounded support through probit or log transform. Assumes lower boundary is at 0. Author: Gery Geenens and Kate Doubleday
Usage
1 | transform_to_real_line(x, xmax, scale, zero_offset)
|
Arguments
x |
A vector of samples |
xmax |
Maximum allowable x value. |
scale |
Scaling factor (0,1] to move maximum values off boundary at 1 |
zero_offset |
Amount to shift minimum values off the boundary at 0 in the (0,1) domain |
Value
The vector of transformed samples
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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