data_assessment: Assessment data
In Iraices/PrecisePvsBoundedP: A suggestion for the quantification of precise and bounded probability to express epistemic uncertainty in scientific assessments
Description
#@source
Usage
1
Format
Data is given as a list with the following components:
- log_concentration_ss_data
- log_consumption_ss_data
- consumers_info_sample_size
A list of length 7. For each chocolate product: sugar panned chocolate,
milk chocolate, chocolate icing, chocolate with fillings, dark chocolate, cocoa powder, beverage powder,
it has the following:
- non_consumer_sample_size
Sample size of non consumers
- consumer_sample_size
Sample size of consumers
- change_cons
A dataframe concerning EKE. It has 4 columns:
- probs
Probabilities
- vals
Elicited values from experts
- vals_lower
Lower bound of elicited values from experts
- vals_upper
Upper bound of elicited values from experts
Iraices/PrecisePvsBoundedP documentation built on Jan. 18, 2021, 11:32 p.m.
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Description
#@source
Usage
1 |
Format
Data is given as a list with the following components:
- log_concentration_ss_data
- log_consumption_ss_data
- consumers_info_sample_size
A list of length 7. For each chocolate product: sugar panned chocolate, milk chocolate, chocolate icing, chocolate with fillings, dark chocolate, cocoa powder, beverage powder, it has the following:
- non_consumer_sample_size
Sample size of non consumers
- consumer_sample_size
Sample size of consumers
- change_cons
A dataframe concerning EKE. It has 4 columns:
- probs
Probabilities
- vals
Elicited values from experts
- vals_lower
Lower bound of elicited values from experts
- vals_upper
Upper bound of elicited values from experts
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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