ModelFrame | R Documentation |
Class for storing data, formulas, and other attributes for MachineShop model fitting.
ModelFrame(...)
## S3 method for class 'formula'
ModelFrame(
formula,
data,
groups = NULL,
strata = NULL,
weights = NULL,
na.rm = TRUE,
...
)
## S3 method for class 'matrix'
ModelFrame(
x,
y = NULL,
offsets = NULL,
groups = NULL,
strata = NULL,
weights = NULL,
na.rm = TRUE,
...
)
... |
arguments passed from the generic function to its methods. The
first argument of each |
formula, data |
formula defining the model predictor and
response variables and a data frame containing them.
In the associated method, arguments |
groups |
vector of values defining groupings of case observations, such as repeated measurements, to keep together during resampling [default: none]. |
strata |
vector of values to use in conducting stratified resample estimation of model performance [default: none]. |
weights |
numeric vector of non-negative case weights for the |
na.rm |
character string or logical specifying removal of |
x, y |
matrix and object containing predictor and response variables. |
offsets |
numeric vector, matrix, or data frame of values to be added with a fixed coefficient of 1 to linear predictors in compatible regression models. |
ModelFrame
class object that inherits from data.frame
.
fit
, resample
, response
,
SelectedInput
## Requires prior installation of suggested package gbm to run
mf <- ModelFrame(ncases / (ncases + ncontrols) ~ agegp + tobgp + alcgp,
data = esoph, weights = ncases + ncontrols)
gbm_fit <- fit(mf, model = GBMModel)
varimp(gbm_fit)
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