fit.decay: Fit binomial regression model to distribution of bipartite...
In PoonLab/clustuneR: Molecular clustering implementation and predictive optimization
View source: R/graph-clustering.R
fit.decay R Documentation
Fit binomial regression model to distribution of bipartite edges between
samples at different time points, as a model of decay in edge density with
time. (internal)
Description
Fit binomial regression model to distribution of bipartite edges between
samples at different time points, as a model of decay in edge density with
time. (internal)
Usage
fit.decay(nodes, edges)
Arguments
nodes:
data.table, excluding new cases
edges:
data.frame, edges below a given distance threshold
Value
glm object
PoonLab/clustuneR documentation built on Jan. 29, 2024, 2:40 a.m.
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View source: R/graph-clustering.R
| fit.decay | R Documentation |
Fit binomial regression model to distribution of bipartite edges between samples at different time points, as a model of decay in edge density with time. (internal)
Description
Fit binomial regression model to distribution of bipartite edges between samples at different time points, as a model of decay in edge density with time. (internal)
Usage
fit.decay(nodes, edges)
Arguments
nodes: |
data.table, excluding new cases |
edges: |
data.frame, edges below a given distance threshold |
Value
glm object
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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