compute_score_table_ord: Internal function: Compute scoring table for ordinal outcomes...
In AutoScore: An Interpretable Machine Learning-Based Automatic Clinical Score Generator
compute_score_table_ord R Documentation
Internal function: Compute scoring table for ordinal outcomes based on
training dataset
Description
Compute scoring table based on training dataset
Usage
compute_score_table_ord(train_set_2, max_score, variable_list, link)
Arguments
train_set_2
Processed training set after variable transformation
max_score
Maximum total score
variable_list
List of included variables
link
The link function used to model ordinal outcomes. Default is
"logit" for proportional odds model. Other options are
"cloglog" (proportional hazards model) and "probit".
Value
A scoring table
AutoScore documentation built on Oct. 16, 2022, 1:06 a.m.
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| compute_score_table_ord | R Documentation |
Internal function: Compute scoring table for ordinal outcomes based on training dataset
Description
Compute scoring table based on training dataset
Usage
compute_score_table_ord(train_set_2, max_score, variable_list, link)
Arguments
train_set_2 |
Processed training set after variable transformation |
max_score |
Maximum total score |
variable_list |
List of included variables |
link |
The link function used to model ordinal outcomes. Default is
|
Value
A scoring table
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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