B2prop | R Documentation |
Cod to compare two proportions using bayesian model with beta priors
B2prop(
var1,
var2,
n.iter = 11000,
n.burnin = 1000,
n.thin = 1,
prior.beta = c(1, 1, 1, 1)
)
var1 |
variable 1 |
var2 |
= variable 2 |
n.iter |
number of iteration |
n.burnin |
number of iteration used in the update of the model |
n.thin |
n thin |
prior.beta |
beta priors (vector of 4 parameters, two first for var1) |
list with Stats (descriptive stats) and MCMC (inference)
JuG
dtf<-data.frame(grp=c(rep("A",15),rep("B", 15)),
res=c(rbinom(n = 15, size = 1, prob = .5),
rbinom(n = 15, size = 1, prob = .49)) )
res <- B2prop(var1 = dtf$res[dtf$grp=="A"], var2 = dtf$res[dtf$grp=="B"])
res
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