View source: R/sequential_batting.R
batting.prog | R Documentation |
Main prognostic BATTing function
batting.prog(
dataset,
ids,
yvar,
censorvar,
type,
class.wt,
xvar,
n.boot,
des.res,
min.sigp.prcnt
)
dataset |
input dataset in data frame |
ids |
training indices |
yvar |
response variable name |
censorvar |
censoring variable name 1:event; 0: censor. |
type |
"c" continuous; "s" survival; "b" binary |
class.wt |
vector of length 2 used to weight the accuracy score , useful when there is class imbalance in binary data defaults to c(1,1) |
xvar |
name of predictor for which cutpoint needs to be obtained |
n.boot |
number of bootstraps for BATTing step. |
des.res |
the desired response. "larger": prefer larger response. "smaller": prefer smaller response. |
min.sigp.prcnt |
desired proportion of signature positive group size for a given cutoff. |
Main prognostic BATTing function
a signature rule consisting of variable name, direction, optimal cutpoint and the corresponding p-value.
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