glm_logit: A function to estimate logit model parameters
In kelvinyangli/mbmml: Learn Markov blankets using Minimum Message Length
Description
This function estimates binary logit model parameters using the build in function glm(). The output
variable must be binary, whilst the input variable can be multinomial.
Usage
1
Arguments
data
x
A vector of input variables with any length. For an empty input variable, set x = c().
y
The output/target variable.
kelvinyangli/mbmml documentation built on June 29, 2020, 3:12 a.m.
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Description
This function estimates binary logit model parameters using the build in function glm(). The output variable must be binary, whilst the input variable can be multinomial.
Usage
1 |
Arguments
data |
|
x |
A vector of input variables with any length. For an empty input variable, set x = c(). |
y |
The output/target variable. |
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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