improve.fit: Compare the improvement in fit from a baseline model
In dustinfife/fifer: A Biostatisticians Toolbox for Various Activities, Including Plotting, Data Cleanup, and Data Analysis
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Compare the improvement in fit from a baseline model
Usage
1
improve.fit(full, reduced)
Arguments
full
the full mixed model
reduced
the reduced mixed model (typically a random effect ANOVA model)
Details
Compare the improvement in fit from a baseline model, using mixed models
Value
A vector containing the proportion change in fit for each random effects parameter
Author(s)
Dustin Fife
Examples
1
2
3
4
5
data(math)
require(lme4)
baseline.model = lmer(MathAch~1 + (1|School), data=d)
full.model = lmer(MathAch~SES + (SES|School), data=d)
improve.fit(full.model, baseline.model)
dustinfife/fifer documentation built on Oct. 31, 2020, 3:36 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Compare the improvement in fit from a baseline model
Usage
1 | improve.fit(full, reduced)
|
Arguments
full |
the full mixed model |
reduced |
the reduced mixed model (typically a random effect ANOVA model) |
Details
Compare the improvement in fit from a baseline model, using mixed models
Value
A vector containing the proportion change in fit for each random effects parameter
Author(s)
Dustin Fife
Examples
1 2 3 4 5 | data(math)
require(lme4)
baseline.model = lmer(MathAch~1 + (1|School), data=d)
full.model = lmer(MathAch~SES + (SES|School), data=d)
improve.fit(full.model, baseline.model)
|
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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