new_adherence: Adherence function
In ronkeizer/PKPDsim: Simulate ODE models
Description
Adherence function
Usage
1
2
new_adherence(n = 100, type = "markov", markov = list(p11 = 0.75, p01 =
0.75), p_binom = 0.7)
Arguments
n
number of days to simulate
type
type of adherence simulation, either "markov" or "binomial"
markov
if markov-type, specify a list with markov transition probabilities
p_binom
binomial probability of being adherent
ronkeizer/PKPDsim documentation built on May 27, 2019, 1:50 p.m.
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.
Description
Adherence function
Usage
1 2 | new_adherence(n = 100, type = "markov", markov = list(p11 = 0.75, p01 =
0.75), p_binom = 0.7)
|
Arguments
n |
number of days to simulate |
type |
type of adherence simulation, either "markov" or "binomial" |
markov |
if markov-type, specify a list with markov transition probabilities |
p_binom |
binomial probability of being adherent |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.