test_rrisk.BayesZINB: Quick test of the 'rrisk.BayesZINB' function
In BfRstats/rriskBayes2: Predefined Bayes models fitted with Markov chain Monte Carlo (MCMC) (related to the 'rrisk' project)
Description
Usage
Value
Examples
Description
The function is a quick test of the rrisk.BayesZINB function without setting parameters. Number of true negatives (n_true_neg) and true positives (n_true_pos) are sampled, all other parameters are fixed
prior.pi = c(1,1)
lambda_true <- rgamma(n_true_pos, a=6, b=2)
y_neg <- rep(0, n_true_neg)
y_pos <- rpois(n_true_pos, lambda_true)
y <- c(y_pos, y_neg)
Usage
1
Value
Returns an instance of the
bayesmodelClass class.
Examples
1
2
3
4
5
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test example
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res <- test_rrisk.BayesZINB()
BfRstats/rriskBayes2 documentation built on May 5, 2019, 2:42 p.m.
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Description Usage Value Examples
Description
The function is a quick test of the rrisk.BayesZINB function without setting parameters. Number of true negatives (n_true_neg) and true positives (n_true_pos) are sampled, all other parameters are fixed
prior.pi = c(1,1)
lambda_true <- rgamma(n_true_pos, a=6, b=2)
y_neg <- rep(0, n_true_neg)
y_pos <- rpois(n_true_pos, lambda_true)
y <- c(y_pos, y_neg)
Usage
1 |
Value
Returns an instance of the
bayesmodelClass class.
Examples
1 2 3 4 5 | ------------------------------------------
test example
------------------------------------------
res <- test_rrisk.BayesZINB()
|
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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