predict.survFit | R Documentation |
survFit
objectsThis is the generic predict
S3 method for the survFit
class.
It provides simulation for "SD" or "IT" models under constant or time-variable exposure.
It provides the simulated number of survivors for "SD" or "IT" models under constant or time-variable exposure.
It provides the simulated number of survivors for "SD" or "IT" models under constant or time-variable exposure.
This is a method
to replace function predict_Nsurv
used on survFit
object when computing issues happen. predict_nsurv_ode
uses the deSolve
library to improve robustness. However, time to compute may be longer.
## S3 method for class 'survFit'
predict(
object,
data_predict = NULL,
spaghetti = FALSE,
mcmc_size = NULL,
hb_value = TRUE,
ratio_no.NA = 0.95,
hb_valueFORCED = NA,
extend_time = 100,
...
)
predict_Nsurv(object, ...)
## S3 method for class 'survFit'
predict_Nsurv(
object,
data_predict = NULL,
spaghetti = FALSE,
mcmc_size = NULL,
hb_value = TRUE,
hb_valueFORCED = NA,
extend_time = 100,
...
)
predict_Nsurv_ode(
object,
data_predict,
spaghetti,
mcmc_size,
hb_value,
hb_valueFORCED,
extend_time,
interpolate_length,
interpolate_method,
...
)
## S3 method for class 'survFit'
predict_Nsurv_ode(
object,
data_predict = NULL,
spaghetti = FALSE,
mcmc_size = 1000,
hb_value = TRUE,
hb_valueFORCED = NA,
extend_time = 100,
interpolate_length = NULL,
interpolate_method = "linear",
...
)
object |
An object of class |
data_predict |
A dataframe with three columns |
spaghetti |
If |
mcmc_size |
Can be used to reduce the number of mcmc samples in order to speed up
the computation. |
hb_value |
If |
ratio_no.NA |
A numeric between 0 and 1 standing for the proportion of non-NA values
required to compute quantile. The default is |
hb_valueFORCED |
If |
extend_time |
Length of time points interpolated with variable exposure profiles. |
... |
Further arguments to be passed to generic methods |
interpolate_length |
Length of the time sequence for which output is wanted. |
interpolate_method |
The interpolation method for concentration. See package |
a list
of data.frame
with the quantiles of outputs in
df_quantiles
or all the MCMC chaines df_spaghetti
an object of class predict_Nsurv
.
The function returns an object of class survFitPredict_Nsurv
, which is
a list with the two following data.frame
:
df_quantile |
A |
df_spaghetti |
NULL if arguement |
an object of class predict_Nsurv_ode
.
a list
of data.frame
with the quantiles of outputs in
df_quantiles
or all the MCMC chaines df_spaghetti
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