package-vGWAS: Variance Heterogeneity Genome-wide Association Study

package-vGWASR Documentation

Variance Heterogeneity Genome-wide Association Study

Description

The package provides models and tests for variance heterogeneity genome-wide association study (vGWAS). "_PACKAGE"

Author(s)

Xia Shen

References

Shen, X., Pettersson, M., Ronnegard, L. and Carlborg, O. (2011): Inheritance beyond plain heritability: variance-controlling genes in Arabidopsis thaliana. PLoS Genetics, 8, e1002839.

Ronnegard, L., Shen, X. and Alam, M. (2011): hglm: A Package for Fitting Hierarchical Generalized Linear Models. The R Journal, 2(2), 20-28.

Brown, M. B. and Forsythe, A.B. (1974). Robust tests for equality of variances. Journal of the American Statistical Association, 69, 364-367.

Levene, H. (1960). Robust Tests for Equality of Variances, in Contributions to Probability and Statistics, ed. I. Olkin, Palo Alto, CA: Stanford Univ. Press.

See Also

R package lawstat for other types of nonparametric variance tests and onewaystats.


kullrich/vGWAS documentation built on June 10, 2025, 3:56 a.m.