nre_eval: Function to identify change points in the whole dataset
In LBNL-ETA/RMV2.0: M&V2.0 Using R and Shiny
Description
Usage
Arguments
Value
Description
train_model This function is used by the shiny application to detect
potential non-routine events for all the the trained models in the var_out object
Usage
1
nre_eval(var_out)
Arguments
var_out
a shiny reactiveValues object where the data are stored
Value
a nre_eval object, which is a list with the following components:
- cbt_obj_list
a list of cpt_det object where each element correspond to a building
- sav_est_tab_2
A dataframe that correspond to an updated version of var_out$sav_est_tab
LBNL-ETA/RMV2.0 documentation built on Nov. 9, 2020, 5:44 a.m.
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Description Usage Arguments Value
Description
train_model This function is used by the shiny application to detect
potential non-routine events for all the the trained models in the var_out object
Usage
1 | nre_eval(var_out)
|
Arguments
var_out |
a shiny reactiveValues object where the data are stored |
Value
a nre_eval object, which is a list with the following components:
- cbt_obj_list
a list of cpt_det object where each element correspond to a building
- sav_est_tab_2
A dataframe that correspond to an updated version of var_out$sav_est_tab
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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