evolqg (version 0.2-2)

MonteCarloR2: R2 confidence intervals by parametric sampling

Description

Using a multivariate normal model, random populations are generated using the suplied covariance matrix. R2 is calculated on all the random population, provinding a distribution based on the original matrix.

Usage

MonteCarloR2(cov.matrix, sample.size, iterations = 1000, parallel = FALSE)

Arguments

cov.matrix

Covariance matrix.

sample.size

Size of the random populations

iterations

Number of random populations

parallel

if TRUE computations are done in parallel. Some foreach backend must be registered, like doParallel or doMC.

Value

• returns a vector with the R2 for all populations

Details

Since this function uses multivariate normal model to generate populations, only covariance matrices should be used.

See Also

BootstrapRep, AlphaRep

Examples

r2.dist <- MonteCarloR2(RandomMatrix(10, 1, 1, 10), 30)
quantile(r2.dist)