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License: GNU Affero General Public License v3.0
Bayesian estimation of infectious units per million (IUPM) from viral outgrowth assay-based sequence data
License: GNU Affero General Public License v3.0
The data.pars function currently produces the following error if run on the packaged data:
Error in $<-.data.frame
(*tmp*
, "Variant", value = integer(0)) :
replacement has 0 rows, data has 180
This is due to a difference between the heading labels in the data file and those hard code in the script, specifically:
Variant # or Variant index vs. Variant and,
Presence of variant vs. Presence of Variant
This error can be fixed by:
When running the Metropolis-Hastings sampling the code fails with the following error:
Error in mh(data, max.steps = 1e+05, skip.console = 1000, skip.log = 100) :
(list) object cannot be coerced to type 'integer'
The issue is in determining the number of variants per region here:
m <- lapply(data, function(sub) ncol(sub$wells)) and,
regions <- names(m)
The first level of this list is the Patient ID so above code returns NULL.
Fixing code to:
m <- lapply(data[[1]], function(sub) ncol(sub$wells))
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