bs_covar_est: Perform covariance estimates for each of multiple bootstrap...
In fboehm/limmbo2: Covariance Matrices Estimation for Multivariate Linear Mixed Effects Models in Genetics Studies
Description
Usage
Arguments
Examples
Description
Perform covariance estimates for each of multiple bootstrap samples of traits
Usage
1
bs_covar_est(limmbo_out, cpus, seed)
Arguments
limmbo_out
object produced by call to limmbo$core$vdbootstrap$LiMMBo
cpus
number of cpus to use (as an R object)
seed
integer for pseudo random number seed (as an R object)
Examples
1
2
3
4
5
6
## Not run:
prep_data(pheno = matrix(rnorm(300), nrow = 100), kinship = diag(100)) -> dat
make_limmbo(dat, timing = TRUE, iterations = 10, subset_size = 2) -> limmbo_out
bs_covar_est(limmbo_out, cpus = 1, seed = 100)
## End(Not run)
fboehm/limmbo2 documentation built on May 17, 2019, 7:05 p.m.
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Description Usage Arguments Examples
Description
Perform covariance estimates for each of multiple bootstrap samples of traits
Usage
1 | bs_covar_est(limmbo_out, cpus, seed)
|
Arguments
limmbo_out |
object produced by call to limmbo$core$vdbootstrap$LiMMBo |
cpus |
number of cpus to use (as an R object) |
seed |
integer for pseudo random number seed (as an R object) |
Examples
1 2 3 4 5 6 | ## Not run:
prep_data(pheno = matrix(rnorm(300), nrow = 100), kinship = diag(100)) -> dat
make_limmbo(dat, timing = TRUE, iterations = 10, subset_size = 2) -> limmbo_out
bs_covar_est(limmbo_out, cpus = 1, seed = 100)
## End(Not run)
|
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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