g3_iterative_setup: Initial parameters for iterative re-weighting
In gadget-framework/gadgetutils: Tools to create and maintain gadget3 models
g3_iterative_setup R Documentation
Initial parameters for iterative re-weighting
Description
Initial parameters for iterative re-weighting
Usage
g3_iterative_setup(lik_out, grouping = list())
Arguments
lik_out
A likelihood summary dataframe. The output of g3_lik_out(model, param)
grouping
A list describing how to group likelihood components for iterative re-weighting
Details
Initial weights are calculated by taking the inverse SS and then multiplying these by 10000 for the components that are to be optimised
Value
A list of G3 parameter dataframes, one for each group of likelihood components
gadget-framework/gadgetutils documentation built on Aug. 16, 2024, 8:45 a.m.
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| g3_iterative_setup | R Documentation |
Initial parameters for iterative re-weighting
Description
Initial parameters for iterative re-weighting
Usage
g3_iterative_setup(lik_out, grouping = list())
Arguments
lik_out |
A likelihood summary dataframe. The output of g3_lik_out(model, param) |
grouping |
A list describing how to group likelihood components for iterative re-weighting |
Details
Initial weights are calculated by taking the inverse SS and then multiplying these by 10000 for the components that are to be optimised
Value
A list of G3 parameter dataframes, one for each group of likelihood components
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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