dg__model_optim: calls the optimzation routine to estimate dG models
In jschmiedel/tempura: Fit free energies of folding and binding from doubledeepPCA data
Description
Usage
Arguments
Value
View source: R/dg__model_optim.R
Description
calls the optimzation routine to estimate dG models
Usage
1
dg__model_optim(start_par, parlist, varlist, maxit, trace_optim = FALSE)
Arguments
start_par
vector of starting parameters for modeling
parlist
list with all model parameters
varlist
list with all variables
maxit
maximum number of iterations for optim
trace_optim
logical, if TRUE, shows trace = 3, default: FALSE
Value
returns a model in data.table format
jschmiedel/tempura documentation built on Nov. 13, 2020, 3:53 a.m.
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Description Usage Arguments Value
View source: R/dg__model_optim.R
Description
calls the optimzation routine to estimate dG models
Usage
1 | dg__model_optim(start_par, parlist, varlist, maxit, trace_optim = FALSE)
|
Arguments
start_par |
vector of starting parameters for modeling |
parlist |
list with all model parameters |
varlist |
list with all variables |
maxit |
maximum number of iterations for optim |
trace_optim |
logical, if TRUE, shows trace = 3, default: FALSE |
Value
returns a model in data.table format
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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