RM_can_nlm: Rasch Model optimization with own loss
In submission-user/cmlDIFlasso: DIF-detection with Lasso-methods in a cML-Framework
Description
RM_optimization via loss_function and cl_sample_2, no penalization.
Usage
1
RM_can_nlm(starting_values, data, restr_pen = FALSE, optimization = "nlm")
Arguments
starting_values
starting values for optimization
data
matrix of response data
restr_pen
To conduct penalization for sum=0 restriction set this to TRUE.
optimization
either "optim" or "nlm"
submission-user/cmlDIFlasso documentation built on Dec. 23, 2021, 6:40 a.m.
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Description
RM_optimization via loss_function and cl_sample_2, no penalization.
Usage
1 | RM_can_nlm(starting_values, data, restr_pen = FALSE, optimization = "nlm")
|
Arguments
starting_values |
starting values for optimization |
data |
matrix of response data |
restr_pen |
To conduct penalization for sum=0 restriction set this to TRUE. |
optimization |
either "optim" or "nlm" |
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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