reduce_data_weights: Reduce the weights such that it rounds to 'nice' numbers.
In kcf-jackson/glmSimData: A package for simulating data from a GLM model
Description
Usage
Arguments
Details
View source: R/beta_coefficients.R
Description
Reduce the weights such that it rounds to 'nice' numbers.
Usage
1
reduce_data_weights(data_model_obj, N, by = 1, choose = "random", family)
Arguments
data_model_obj
An object from 'generate_response_with_ratio'.
N
Number of weights to be trimmed.
by
Integer; desired decrement for each weight.
choose
One of 'random' and 'top'.
If 'random', the function reduces a random set of N weights.
If 'top', the function reduces the heaviest N weights.
family
GLM family, see "?family" for details.
Details
Not for external users.
kcf-jackson/glmSimData documentation built on May 20, 2019, 8:15 a.m.
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Description Usage Arguments Details
View source: R/beta_coefficients.R
Description
Reduce the weights such that it rounds to 'nice' numbers.
Usage
1 | reduce_data_weights(data_model_obj, N, by = 1, choose = "random", family)
|
Arguments
data_model_obj |
An object from 'generate_response_with_ratio'. |
N |
Number of weights to be trimmed. |
by |
Integer; desired decrement for each weight. |
choose |
One of 'random' and 'top'. If 'random', the function reduces a random set of N weights. If 'top', the function reduces the heaviest N weights. |
family |
GLM family, see "?family" for details. |
Details
Not for external users.
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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