Description Usage Arguments Value Examples
View source: R/fit_BiasedDrift.R
simulateBiasedDriftData
will use the analytical biased stem cell drift model solutions to similate count data.
1 2 3 4 5 6 7 8 9 | simulateBiasedDriftData(
lambda,
Ns,
tau,
Pr,
time_points,
size_measure,
num_crypts
)
|
lambda |
Stem cell replacement rate. |
Ns |
Number of functional stem cells per crypt. |
tau |
Time delay until drift starts. |
Pr |
Bias in stem cell replacement Pr = 0.5 is neutral. |
time_points |
vector of time point values. |
size_measure |
Fractions in which the crypts are measured in (e.g. 8ths). |
num_crypts |
Number of crypts measured per time point. |
Will retrun simulated crypt clone count data.
1 2 3 | time_points = c(4, 7, 10, 14, 21)
WT_params = list(lambda = 0.1, N = 5, tau = 1)
x = simulateBiasedDriftData(WT_params$lambda, WT_params$N, WT_params$tau, Pr = 0.7, time_points, 8, 300)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.