Description Usage Arguments Value
View source: R/dimsumms_errormodel_fit.R
estimate multiplicative input/output and additive error terms from DMS dataset
1 2 3 | dimsumms_errormodel_fit(DT, reps, Ncores = 1, Nbootstraps = 100,
maxN = 10000, max_tries_per_fit = 20, lower_bound_add = 10^-4,
Fcorr = c())
|
DT |
DMS dataset data.table |
reps |
replicates for which the error model parameters should be estimated |
Ncores |
how many cores to use for parallelization |
Nbootstraps |
# bootstraps for error model calculation |
maxN |
how many variants are used per bootstrap |
max_tries_per_fit |
how many restarts of the fitting routine in case nls doesn't yield results |
lower_bound_add |
lower limited for additive error terms |
Fcorr |
fitness normalization parameters |
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