cip.2 {HWEintrinsic} | R Documentation |
Graph of the Conditional Intrinsic Prior for a Two Alleles Dataset
Description
This function produces the 3D plot for the conditional intrinsic prior based on a sample of two alleles data as described in Consonni et al. (2011).
Usage
cip.2(t, p, k = 30)
Arguments
t |
training sample size. |
p |
allele frequency used to condition the prior upon. |
k |
number of grid points for the alleles frequencies at which the prior is evaluated. |
Value
No object is returned by this function.
Note
This function provides the plot of the conditional intrinsic prior only for two alleles data.
Author(s)
Sergio Venturini sergio.venturini@unicatt.it
References
Consonni, G., Moreno, E., and Venturini, S. (2011). "Testing Hardy-Weinberg equilibrium: an objective Bayesian analysis". Statistics in Medicine, 30, 62–74. https://onlinelibrary.wiley.com/doi/10.1002/sim.4084/abstract
See Also
Examples
## Not run:
# ATTENTION: the following code may take a long time to run! #
### The following code reproduces Figure 1 in Consonni et al. (2011) ###
p <- 0.5
t <- 5
cip.2(t, p, 30)
t <- 30
cip.2(t, p, 50)
## End(Not run)
[Package HWEintrinsic version 1.2.3 Index]