LMModel: Linear Models
In brian-j-smith/MachineShop: Machine Learning Models and Tools
LMModel R Documentation
Linear Models
Description
Fits linear models.
Usage
LMModel()
Details
- Response types:
factor, matrix, numeric
Further model details can be found in the source link below.
In calls to varimp for LModel, numeric argument
base may be specified for the (negative) logarithmic transformation of
p-values [defaul: exp(1)]. Transformed p-values are automatically
scaled in the calculation of variable importance to range from 0 to 100. To
obtain unscaled importance values, set scale = FALSE.
Value
MLModel class object.
See Also
lm, fit, resample
Examples
fit(sale_amount ~ ., data = ICHomes, model = LMModel)
brian-j-smith/MachineShop documentation built on June 12, 2025, 3:52 a.m.
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| LMModel | R Documentation |
Linear Models
Description
Fits linear models.
Usage
LMModel()
Details
- Response types:
factor,matrix,numeric
Further model details can be found in the source link below.
In calls to varimp for LModel, numeric argument
base may be specified for the (negative) logarithmic transformation of
p-values [defaul: exp(1)]. Transformed p-values are automatically
scaled in the calculation of variable importance to range from 0 to 100. To
obtain unscaled importance values, set scale = FALSE.
Value
MLModel class object.
See Also
lm, fit, resample
Examples
fit(sale_amount ~ ., data = ICHomes, model = LMModel)
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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