hd_trim: Highest-Density Trimmed Mean
In aggutils: Utilities for Aggregating Probabilistic Forecasts
hd_trim R Documentation
Highest-Density Trimmed Mean
Description
From Powell et al. (2022) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1037/dec0000191")}. You find
the shortest interval containing (1-p) * 100% of the data and take the mean
of the forecasts within that interval.
Usage
hd_trim(x, p = 0.1)
Arguments
x
Vector of forecasts in 0 to 100 range (%)
p
The proportion of forecasts to trim (between 0 and 1)
Value
(numeric) The highest-density trimmed mean of the vector
Note
As p gets bigger this acts like a mode in a similar way to
the symmetrically-trimmed mean acting like a median.
aggutils documentation built on Aug. 23, 2023, 1:09 a.m.
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| hd_trim | R Documentation |
Highest-Density Trimmed Mean
Description
From Powell et al. (2022) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1037/dec0000191")}. You find the shortest interval containing (1-p) * 100% of the data and take the mean of the forecasts within that interval.
Usage
hd_trim(x, p = 0.1)
Arguments
x |
Vector of forecasts in 0 to 100 range (%) |
p |
The proportion of forecasts to trim (between 0 and 1) |
Value
(numeric) The highest-density trimmed mean of the vector
Note
As p gets bigger this acts like a mode in a similar way to the symmetrically-trimmed mean acting like a median.
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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