log_p11: Probability of Remaining in Progression Between Two Time...
In simIDM: Simulating Oncology Trials using an Illness-Death Model
log_p11 R Documentation
Probability of Remaining in Progression Between Two Time Points for Different Transition Models
Description
Probability of Remaining in Progression Between Two Time Points for Different Transition Models
Usage
log_p11(transition, s, t)
Arguments
transition
(TransitionParameters)
see exponential_transition(), weibull_transition() or piecewise_exponential() for details.
s
(numeric)
lower time points.
t
(numeric)
higher time points.
Value
This returns the natural logarithm of the probability of remaining in progression (state 1)
between two time points, conditional on being in state 1 at the lower time point.
Examples
transition <- exponential_transition(h01 = 1.2, h02 = 1.5, h12 = 1.6)
log_p11(transition, 1, 3)
simIDM documentation built on May 29, 2024, 6:38 a.m.
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| log_p11 | R Documentation |
Probability of Remaining in Progression Between Two Time Points for Different Transition Models
Description
Probability of Remaining in Progression Between Two Time Points for Different Transition Models
Usage
log_p11(transition, s, t)
Arguments
transition |
( |
s |
( |
t |
( |
Value
This returns the natural logarithm of the probability of remaining in progression (state 1) between two time points, conditional on being in state 1 at the lower time point.
Examples
transition <- exponential_transition(h01 = 1.2, h02 = 1.5, h12 = 1.6)
log_p11(transition, 1, 3)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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