Description Usage Arguments Details Value Author(s) References
View source: R/rhoestimators.r
Fixed effect variance estimation for Joint Rank Method (JR). It assumes Compound Symmetric (CS) structure of error terms. For klevel design, there are k1 intra/interclass parameters to place in a correlation matrix of errors.
1  beta_var(x, school, tauhat, v1, v2, v3, section, mat)

x 
Data frame of covariates. 
school 
A vector of cluster. 
tauhat 
This is obtained from Rankbased fitting.

v1 
This is 1, main diagonal element for correlation matrix of observations. Correlation of an observation with itself is 1. 
v2 
Intracluster correlation coefficient. 
v3 
Intrasubcluster correlation coefficient. 
section 
A vector of subclusters, nx1. 
mat 
A matrix of numbers of observations in subclusters. Dimension is Ixmax(number ofsubclusters). Each row indicates one cluster. 
Correlation coefficients are obtained using Moment Estimates. See Klole et. al (2009), Bilgic (2012) and HM (2012)
var 
The variance of fixed estimated. 
Yusuf Bilgic
Y. K. Bilgic. Rankbased estimation and prediction for mixed effects models in nested designs. 2012. URL http://scholarworks.wmich.edu/dissertations/40. Dissertation.
J. Kloke, J. W. McKean and M. Rashid. Rankbased estimation and associated inferences for linear models with cluster correlated errors. Journal of the American Statistical Association, 104(485):384390, 2009.
T. P. Hettmansperger and J. W. McKean. Robust Nonparametric Statistical Methods. Chapman Hall, 2012.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.