| Name : R-BINtools
| |
| Version : 0.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp155.6.1
| Date : 2024-09-17 21:39:02
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| Group : Development/Libraries/Other
| Source RPM : R-BINtools-0.2.0-lp155.6.1.src.rpm
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| Size : 6.29 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Bayesian BIN (Bias, Information, Noise) Model of Forecasting
|
Description :
A recently proposed Bayesian BIN model disentangles the underlying
processes that enable forecasters and forecasting methods to improve,
decomposing forecasting accuracy into three components: bias, partial
information, and noise. By describing the differences between two
groups of forecasters, the model allows the user to carry out useful
inference, such as calculating the posterior probabilities of the
treatment reducing bias, diminishing noise, or increasing information.
It also provides insight into how much tamping down bias and noise in
judgment or enhancing the efficient extraction of valid information
from the environment improves forecasting accuracy. This package
provides easy access to the BIN model. For further information refer to
the paper Ville A. Satopää, Marat Salikhov, Philip E. Tetlock, and
Barbara Mellers (2021) \"Bias, Information, Noise: The BIN Model of
Forecasting\" < doi:10.1287/mnsc.2020.3882>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
