deconvolveR

cranv1.2-1

Empirical Bayes Estimation Strategies. Empirical Bayes methods for learning prior distributions from data. An unknown prior distribution (g) has yielded (unobservable) parameters, each of which produces a data point from a parametric exponential family (f). The goal is to estimate the unknown prior ("g-modeling") by deconvolution and Emp

License GPL (>= 2)0 versions1 maintainers2 deps762 weekly dl
https://CRAN.R-project.org/package=deconvolveR
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[email protected] is safe to use (health: 42/100)

Health breakdown0 – 100
0/25
maintenance
3/20
popularity
25/25
security
12/15
maturity
2/15
community
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0
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First published · 2020-08-30 01:50:32

Last updated · 2020-08-30T00:00:26+00:00

deconvolveR — Health Score 42/100 | DepScope