cal_norm_upper_bound: Normalize experts' upper bounds.
In LorenzoCattarino/priorityeffort: Prioritization of conservation management effort.
View source: R/pre_processing_functions.R
Description
It applies the normalization formula described in Mcbride et al. 2012.
Usage
1
cal_norm_upper_bound(best_g, upper_b, confid, possib_lev)
Arguments
best_g
the expert's best guess.
upper_b
the expert's upper bound.
confid
the expert's confidence level.
possib_lev
the possibility level to normalize to.
LorenzoCattarino/priorityeffort documentation built on May 28, 2019, 3:58 p.m.
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View source: R/pre_processing_functions.R
Description
It applies the normalization formula described in Mcbride et al. 2012.
Usage
1 | cal_norm_upper_bound(best_g, upper_b, confid, possib_lev)
|
Arguments
best_g |
the expert's best guess. |
upper_b |
the expert's upper bound. |
confid |
the expert's confidence level. |
possib_lev |
the possibility level to normalize to. |
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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