gamboostLSS_2_PIT: Probability integral transform for Para_gamboostLSS objects
In jbrowell/ProbCast: Flexible Probabilistic Forecasting
View source: R/gamboostLSS_2_PIT.R
gamboostLSS_2_PIT R Documentation
Probability integral transform for Para_gamboostLSS objects
Description
This function calculates the probability integral transformation
for gamboostLSS models. Is has been replaced by an S3 method for PIT
and is only included for backwards compatability. May be removed in the future.
Usage
gamboostLSS_2_PIT(models, data, dist_fun, response_name, ...)
Arguments
models
A Para_gamboostLSS object.
data
Input data corresponding to qrdata.
dist_fun
cumulative distribution function corresponging to families specified in gamboostLSS model (see example).
response_name
name of response variable in data object.
Details
Details go here...
Value
The probability integral transform of data through the predictive distribution defined by a list of gamboostLSS objects.
Author(s)
Ciaran Gilbert, ciaran.gilbert@strath.ac.uk
jbrowell/ProbCast documentation built on July 20, 2024, 1:53 p.m.
R Package Documentation
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View source: R/gamboostLSS_2_PIT.R
| gamboostLSS_2_PIT | R Documentation |
Probability integral transform for Para_gamboostLSS objects
Description
This function calculates the probability integral transformation
for gamboostLSS models. Is has been replaced by an S3 method for PIT
and is only included for backwards compatability. May be removed in the future.
Usage
gamboostLSS_2_PIT(models, data, dist_fun, response_name, ...)
Arguments
models |
A Para_gamboostLSS object. |
data |
Input data corresponding to |
dist_fun |
cumulative distribution function corresponging to families specified in gamboostLSS model (see example). |
response_name |
name of response variable in |
Details
Details go here...
Value
The probability integral transform of data through the predictive distribution defined by a list of gamboostLSS objects.
Author(s)
Ciaran Gilbert, ciaran.gilbert@strath.ac.uk
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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