th_contLabelling: Analytical approximation to continuous labelling model.
In MorrisseyLab/CryptDriftR: Analyse crypt lineage tracing data
Description
Usage
Arguments
Value
Examples
View source: R/DriftFunctions.R
Description
th_contLabelling
Usage
1
th_contLabelling(mu, lambda, Ns, time_points)
Arguments
mu
Stem cell replacement rate.
lambda
Stem cell replacement rate.
Ns
Number of functional stem cells per crypt.
time_points
vector of time point values.
Value
a matrix with two rows, the frequency of partial clone cypts and the frequency of monoclonal crypts.
Examples
1
x = th_contLabelling(mu = 1.1e-4, lambda = 0.1, Ns = 5, time_points = 101:201)
MorrisseyLab/CryptDriftR documentation built on Aug. 7, 2021, 8:22 p.m.
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Description Usage Arguments Value Examples
View source: R/DriftFunctions.R
Description
th_contLabelling
Usage
1 | th_contLabelling(mu, lambda, Ns, time_points)
|
Arguments
mu |
Stem cell replacement rate. |
lambda |
Stem cell replacement rate. |
Ns |
Number of functional stem cells per crypt. |
time_points |
vector of time point values. |
Value
a matrix with two rows, the frequency of partial clone cypts and the frequency of monoclonal crypts.
Examples
1 | x = th_contLabelling(mu = 1.1e-4, lambda = 0.1, Ns = 5, time_points = 101:201)
|
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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