ols_all: Create Ordinary Least-Square Regressions
In samchaineau/ModBrowse: GLM and LM Models' browsing
Description
Usage
Arguments
Value
Description
Create OLS based on supplied formulas.
Usage
1
Arguments
z
A vector containing every models
data
The data on which applying the regressions
pval
If TRUE, removes the models with at least one coefficients with a p-value above 0.05, if FALSE keeps everything
Value
A list of models
samchaineau/ModBrowse documentation built on Feb. 17, 2020, 1:57 p.m.
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Description Usage Arguments Value
Description
Create OLS based on supplied formulas.
Usage
1 |
Arguments
z |
A vector containing every models |
data |
The data on which applying the regressions |
pval |
If TRUE, removes the models with at least one coefficients with a p-value above 0.05, if FALSE keeps everything |
Value
A list of models
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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