Module model
source code
Functions for sorting and nesting the models in relaxation dispersion
specific analysis.
List of tuples with str.
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class, class
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nesting_model(self_models=None,
model=None)
Determine if the current model can use nested results from any of the
previous analysed models. |
source code
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dictionary
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nesting_param(model_params=None,
nested_model_params=None)
Determine the conversion from the nested models params, to the
current model params. |
source code
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list of str
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__package__ = ' specific_analyses.relax_disp '
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Imports:
deepcopy,
date,
partial,
attrgetter,
ne,
EQ_ANALYTIC,
EQ_NUMERIC,
EQ_SILICO,
EXP_TYPE_CPMG_MMQ,
EXP_TYPE_R1RHO,
EXP_TYPE_CPMG_SQ,
EXP_TYPE_NOREX,
EXP_TYPE_R2EFF,
MODEL_DESC,
MODEL_EQ,
MODEL_EXP_TYPE,
MODEL_NEST,
MODEL_PARAMS,
MODEL_PARAMS_LM63,
MODEL_PARAMS_LM63_3SITE,
MODEL_PARAMS_NS_MMQ_2SITE,
MODEL_PARAMS_NS_MMQ_3SITE,
MODEL_PARAMS_NS_MMQ_3SITE_LINEAR,
MODEL_PARAMS_NS_R1RHO_2SITE,
MODEL_PARAMS_NS_R1RHO_3SITE,
MODEL_PARAMS_NS_R1RHO_3SITE_LINEAR,
MODEL_SITES,
MODEL_YEAR,
PARAMS_R1,
PARAMS_R20,
is_r1_optimised
Get model info for list of models.
- Parameters:
model (list of str) - The list of all models analysed.
- Returns: List of tuples with str.
- List of tuples, where each tuple contains model info.
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nesting_model(self_models=None,
model=None)
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Determine if the current model can use nested results from any of the
previous analysed models.
- Parameters:
self_models (list of str) - The list of all models analysed.
model (str) - The current model to analyse.
- Returns: class, class
- The current model info, the possible nest model info.
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nesting_param(model_params=None,
nested_model_params=None)
| source code
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Determine the conversion from the nested models params, to the current
model params.
- Parameters:
model_params (list of str) - The list of the current model parameters.
nested_model_params (list of str) - The list of the nested model parameters.
- Returns: dictionary
- A dictionary of parameter conversion for the current model
params.
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Determine how to order the models for analyses.
- Parameters:
models (list of str) - The list of all models to be analysed.
- Returns: list of str
- The ordered list how models should be analysed.
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