predict_burgle | R Documentation |
Predict for burgle methods
## S3 method for class 'burgle_CauseSpecificCox'
predict(
object,
newdata = NULL,
type = "lp",
cause = 1,
original = TRUE,
draws = 1,
sims = 1,
times = NULL,
...
)
## S3 method for class 'burgle_cph'
predict(object, ...)
## S3 method for class 'burgle_flexsurvreg'
predict(
object,
newdata = NA,
original = TRUE,
draws = 1,
sims = 1,
type = "lp",
times = NULL,
...
)
## S3 method for class 'burgle_multinom'
predict(
object,
newdata = NA,
original = TRUE,
draws = 1,
sims = 1,
type = "lp",
floor = FALSE,
seed = NULL,
...
)
## S3 method for class 'burgle_coxph'
predict(
object,
newdata = NA,
original = TRUE,
draws = 1,
sims = 1,
type = "lp",
times = NULL,
...
)
## S3 method for class 'burgle_lm'
predict(
object,
newdata,
original = TRUE,
draws = 1,
sims = 1,
type = "lp",
se = FALSE,
limits = NULL,
...
)
## S3 method for class 'burgle_glm'
predict(
object,
newdata,
original = TRUE,
draws = 1,
sims = 1,
type = "lp",
se = FALSE,
...
)
object |
the results of burgle_* object |
newdata |
new data of class data.frame |
type |
either 'lp', 'response', 'link' for glm or 'risk' if time dependent |
cause |
which cause do you want to predict |
original |
whether or not to predict using the original model |
draws |
how many different models to simulate |
sims |
how many simulated response to draw |
times |
if type = "risk" time for which to predict risk, if times and sims is multiple the return will be lists within lists |
... |
for future methods |
floor |
will set the minimum odds to 0, if negative odds exists |
seed |
a seed to specificy for simulating responses (multinomial only) |
se |
whether or not to include the standard error in the simulations |
limits |
limits (minimum and maximum) for simulated response values. |
either a matrix or list of new model predictions
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