RAL_calculator: Local logscore calculator
In ooelrich/oscbvar: Stuff for Bayesian vector autoregressions
Description
Usage
Arguments
Details
View source: R/macro_helpers_aggregation.R
Description
Calculates the local logscores given a weight data frame and a data
frame of atomic predictions.
Usage
1
RAL_calculator(weight_df, atomic_df, pratig = FALSE)
Arguments
weight_df
Data frame containing relevance adjusted weights.
Generated by a relevance function (caliper relevance or
mahalanobis atm).
atomic_df
Data frame with atomic predictions from any number
of models.
pratig
Use TRUE to run the function in a debuggy mode where a
bunch of extra information is returned and printed.
Details
Starts with a weight data frame on the form
t t2 similar
730 729 1
730 728 0
730 727 1
ooelrich/oscbvar documentation built on Sept. 8, 2021, 3:31 p.m.
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Description Usage Arguments Details
View source: R/macro_helpers_aggregation.R
Description
Calculates the local logscores given a weight data frame and a data frame of atomic predictions.
Usage
1 | RAL_calculator(weight_df, atomic_df, pratig = FALSE)
|
Arguments
weight_df |
Data frame containing relevance adjusted weights. Generated by a relevance function (caliper relevance or mahalanobis atm). |
atomic_df |
Data frame with atomic predictions from any number of models. |
pratig |
Use TRUE to run the function in a debuggy mode where a bunch of extra information is returned and printed. |
Details
Starts with a weight data frame on the form
| t | t2 | similar |
| 730 | 729 | 1 |
| 730 | 728 | 0 |
| 730 | 727 | 1 |
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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