DataDA
is a class for the time-to-DLT augmented data.
It inherits from Data
and it contains additional DLT free survival times.
Arguments
- u
(
numeric
)
the continuous vector of DLT free survival times.- t0
(
numeric
)
time of initial dosing for each patient. Non-negative values sorted in ascending order. Default to vector of 0s of length equal to length ofu
.- Tmax
(
number
)
the DLT observation period.- ...
parameters passed to
Data()
.
Slots
u
(
numeric
)
the continuous vector of DLT free survival times.t0
(
numeric
)
time of initial dosing for each patient. Non-negative values sorted in ascending order.Tmax
(
number
)
the DLT observation period.
Note
survival time
here refers to the time period for which the subject
did not experience any DLT, and is not referring to deaths.
Typically, end users will not use the .DefaultDataDA()
function.
Examples
my_data <- DataDA(
u = c(42, 30, 15, 5, 20, 25, 30, 60),
t0 = c(0, 15, 30, 40, 55, 70, 75, 85),
Tmax = 60,
x = c(0.1, 0.5, 1.5, 3, 6, 10, 10, 10),
y = c(0, 0, 1, 1, 0, 0, 1, 0),
doseGrid = c(0.1, 0.5, 1.5, 3, 6, seq(from = 10, to = 80, by = 2))
)
#> Used default patient IDs!
#> Used best guess cohort indices!
# Set up an empty data set.
empty_data <- DataDA(
doseGrid = c(0.1, 0.5, 1, 1.5, 3, 6, seq(from = 10, to = 80, by = 2)),
Tmax = 60
)
empty_data
#> An object of class "DataDA"
#> Slot "u":
#> numeric(0)
#>
#> Slot "t0":
#> numeric(0)
#>
#> Slot "Tmax":
#> [1] 60
#>
#> Slot "x":
#> numeric(0)
#>
#> Slot "y":
#> integer(0)
#>
#> Slot "doseGrid":
#> [1] 0.1 0.5 1.0 1.5 3.0 6.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 26.0
#> [16] 28.0 30.0 32.0 34.0 36.0 38.0 40.0 42.0 44.0 46.0 48.0 50.0 52.0 54.0 56.0
#> [31] 58.0 60.0 62.0 64.0 66.0 68.0 70.0 72.0 74.0 76.0 78.0 80.0
#>
#> Slot "nGrid":
#> [1] 42
#>
#> Slot "xLevel":
#> integer(0)
#>
#> Slot "placebo":
#> [1] FALSE
#>
#> Slot "ID":
#> integer(0)
#>
#> Slot "cohort":
#> integer(0)
#>
#> Slot "nObs":
#> [1] 0
#>