seperate_decomp: get_log_decomp: calculate the decomp for all true & fake...

Description Usage Arguments Value

Description

get_log_decomp: calculate the decomp for all true & fake models & sub-models by using the algorithm described in 'decomp_log'

Usage

1
seperate_decomp(is.output.final = T, model_name = NULL)

Arguments

model_name

if NULL, then output the passed-thru model on the first layer from input_layer. Specific the model_name if need. I.E. model_name="web"

input_data

a data.table class dataset for modeling.

input_var

a data.table class dataset for variable coefficient.

input_layer

a data.table class dataset for model structure.

decomp_list

is from the result of get_decomp, it should be a list contains all the models' decomp

layer

is the set up file layer, which specified the structure of the model

input_var

a data.table class dataset for variable coefficient.

cs

a charactore vector for the cross section variable names in input_data. It could be more than one variable.

date

a charactor of the date variable name in input_data.

is.output

if TRUE, then output tabels to work directory. Default is False.

Value

a list of modeling result. It contains the list of decomp for all models

get_reduced_model:

a list of modeling result. It contains the following components: contribution: contribution table; decomp: decomp table; for.plot: table for shiny; app: a shiny app;


drpmcain/decomp documentation built on May 15, 2019, 2:51 p.m.