make_one_linear_pred: Generate linear predictor from logistic model
In SimTimeVar: Simulate Longitudinal Dataset with Time-Varying Correlated Covariates
Description
Usage
Arguments
Examples
Description
An internal function not intended for the user. Given a matrix of regression parameters
and a dataset, returns the linear predictor based on the given dataset.
Usage
1
Arguments
m
Part of the parameter matrix for the linear predictor for a single variable.
data
The dataframe from which to generate.
Examples
1
2
3
4
5
# take part of parameters matrix corresponding to single level of categorical
# variable
m = cat.params[ cat.params$level == "black", ]
data = data.frame( male = rbinom(n=10, size=1, prob=0.5) )
make_one_linear_pred(m, data)
SimTimeVar documentation built on May 2, 2019, 8:31 a.m.
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Description Usage Arguments Examples
Description
An internal function not intended for the user. Given a matrix of regression parameters and a dataset, returns the linear predictor based on the given dataset.
Usage
1 |
Arguments
m |
Part of the parameter matrix for the linear predictor for a single variable. |
data |
The dataframe from which to generate. |
Examples
1 2 3 4 5 | # take part of parameters matrix corresponding to single level of categorical
# variable
m = cat.params[ cat.params$level == "black", ]
data = data.frame( male = rbinom(n=10, size=1, prob=0.5) )
make_one_linear_pred(m, data)
|
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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