bayes | R Documentation |
Calculates posterior probabilities via Monte Carlo.
bayes(p = vector(), n, p.nv = 0, p.und = 0, M = 10^4)
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A vector containing the proportions of votes. |
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Sample size. |
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A number containing the proportion of non valid votes to be excluded. Default: |
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A number containing the proportion of undecided votes to be proportionally distributed considering p and p.nv. Default: |
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Number of replications. Default: |
bayes(c(.4,.3,.3), 1000) bayes(c(.3,.25,.2,.1,.05), 100) bayes(rep(1/5,5), 500) # Contando com não válidos (p.nv) e indecisos (p.und) # https://www.cnnbrasil.com.br/politica/2021/03/10/pesquisa-exclusiva-cnn-mostra-bolsonaro-em-1-dez-pontos-a-frente-de-lula bayes(p=c(.31,.21,.10,.09,.07,.04,.02,.01), n=1200, p.nv=0.12, 0.03) bayes(c(.43,.39), 1200, 0.15, 0.03) # A seguir estão cenários com empate técnico tríplice segundo os institutos de pesquisa. bayes(c(.5813972562, .3158114522, .1027912917), 50) bayes(c(.5144202347, .3246860305, .1608937348), 100) bayes(c(.4160925601, .3316216347, .2522858052), 500) bayes(c(.3919345050, .3324785813, .2755869137), 10^3) bayes(c(.3518464606, .3332479566, .3149055828), 10^4) bayes(c(.3391808234, .3333247966, .3274943799), 10^5) bayes(c(.3333333335, .3333333333, .3333333331), 10^20)
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