fit.icc.regression.model: Fits a regression model predicting ICC from provided...
In mattmoo/SteppedWedgeAnalysis: Simulation and Analysis of Stepped Wedge Data
Description
Usage
Arguments
Value
Description
Fits a regression model predicting ICC from provided variables.
Usage
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fit.icc.regression.model(
icc.dt,
predictor.vars = NULL,
include.interactions = F,
model.type = c("lm", "loess")[1]
)
Arguments
icc.dt
A data.table with the parameters of the various simulations and
ICC.
predictor.vars
Calculate interation effects, or just simple effects
(Default: F)
model.type
Type of model to fit, currently supports linear ('lm') and
quadratic ('loess') (Default: 'lm')
Value
A linear model object.
mattmoo/SteppedWedgeAnalysis documentation built on Jan. 14, 2020, 12:25 a.m.
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Description Usage Arguments Value
Description
Fits a regression model predicting ICC from provided variables.
Usage
1 2 3 4 5 6 | fit.icc.regression.model(
icc.dt,
predictor.vars = NULL,
include.interactions = F,
model.type = c("lm", "loess")[1]
)
|
Arguments
icc.dt |
A data.table with the parameters of the various simulations and ICC. |
predictor.vars |
Calculate interation effects, or just simple effects (Default: F) |
model.type |
Type of model to fit, currently supports linear ('lm') and quadratic ('loess') (Default: 'lm') |
Value
A linear model object.
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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