adherence_markov: Markov adherence model
In PKPDsim: Tools for Performing Pharmacokinetic-Pharmacodynamic Simulations
adherence_markov R Documentation
Markov adherence model
Description
Model adherence as a markov chain model, based on the probability of staying
adherent and of becoming adherent once non-adherent. Assumes all patients
start adherent.
Usage
adherence_markov(n = 100, p11 = 0.9, p01 = 0.7)
Arguments
n
number of occasions
p11
probability of staying adherent
p01
probability of going from non-adherent to adherent state
Value
Returns a vector of length 'n'
containing values 0 (non-adherent) or 1 (adherent).
Numeric vector of length n
PKPDsim documentation built on March 7, 2023, 5:40 p.m.
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| adherence_markov | R Documentation |
Markov adherence model
Description
Model adherence as a markov chain model, based on the probability of staying adherent and of becoming adherent once non-adherent. Assumes all patients start adherent.
Usage
adherence_markov(n = 100, p11 = 0.9, p01 = 0.7)
Arguments
n |
number of occasions |
p11 |
probability of staying adherent |
p01 |
probability of going from non-adherent to adherent state |
Value
Returns a vector of length 'n' containing values 0 (non-adherent) or 1 (adherent).
Numeric vector of length n
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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