dot-clean_chain: Tidy C++ outputs before writing to disk.
In edward130603/BayesSpace: Clustering and Resolution Enhancement of Spatial Transcriptomes
.clean_chain R Documentation
Tidy C++ outputs before writing to disk.
Description
1) Convert each parameter to matrix (n_iterations x n_indices)
2) Add appropriate colnames
3) Thin evenly (for enhance)
Usage
.clean_chain(out, method = c("cluster", "enhance"), thin = 100)
Arguments
out
List returned by cluster() or deconvolve().
method
Whether the output came from clustering or enhancement.
(Different params are included in each.)
thin
Thinning rate. Some enhanced parameters are thinned within C++
loop, others (mu and Ychange) need to be thinned afterwards.
Value
List with standardized parameters
edward130603/BayesSpace documentation built on May 11, 2023, 6:13 a.m.
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| .clean_chain | R Documentation |
Tidy C++ outputs before writing to disk.
Description
1) Convert each parameter to matrix (n_iterations x n_indices) 2) Add appropriate colnames 3) Thin evenly (for enhance)
Usage
.clean_chain(out, method = c("cluster", "enhance"), thin = 100)
Arguments
out |
List returned by |
method |
Whether the output came from clustering or enhancement. (Different params are included in each.) |
thin |
Thinning rate. Some enhanced parameters are thinned within C++
loop, others ( |
Value
List with standardized parameters
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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