createGLM: Create a generalized linear model from a model dataframe that...
In kcha193/simarioV2: Discrete-time Dynamic Micro-simulation Framework for R
createGLM R Documentation
Create a generalized linear model from a model dataframe that contains
the model variables and their coefficients. The model variables specified
here should be present in the simframe.
Description
NB: the variable "_Alpha" will not be added to the model formula
but will be added as the model component m.glm$alpha
NB: the variable "_sd" will not be added to the model formula
but will be added as the model component m.glm$sd
Usage
createGLM(modeldf)
Arguments
modeldf
model dataframe containing the cols (in any order):
"Variable" = variable name. can be an expression like MAGE*MAGE
"ClassVal0" = variable level. If present is appended to the variable name, eg: MAGELvl1
"Estimate" = variable coeffient
kcha193/simarioV2 documentation built on April 8, 2024, 4:51 p.m.
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| createGLM | R Documentation |
Create a generalized linear model from a model dataframe that contains the model variables and their coefficients. The model variables specified here should be present in the simframe.
Description
NB: the variable "_Alpha" will not be added to the model formula but will be added as the model component m.glm$alpha NB: the variable "_sd" will not be added to the model formula but will be added as the model component m.glm$sd
Usage
createGLM(modeldf)
Arguments
modeldf |
model dataframe containing the cols (in any order): "Variable" = variable name. can be an expression like MAGE*MAGE "ClassVal0" = variable level. If present is appended to the variable name, eg: MAGELvl1 "Estimate" = variable coeffient |
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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