Description Usage Arguments Details Value Author(s) References See Also Examples
The treatment effect estimates for different score functions and their asymptotic covariance matrices in the randomized complete block case.
1 2 3  mv.2way.est(x, block, treatment, score = c("identity", "sign", "rank"),
stand = c("outer", "inner"),
eps=1.0e10, n.iter=1000, na.action = na.fail)

x 
a numeric data frame or matrix. 
block 
a factor with at least two levels. 
treatment 
a factor with at least two levels. 
score 
the score to be used. Possible choices are

stand 
the standardization method used. Possible choices
are 
eps 
convergence criterion. 
n.iter 
maximum number of iterations. 
na.action 
a function which indicates what should happen when the data contain 'NA's. Default is to fail. 
This implements the treatment effect estimates described in chapter 12 of the MNM book.
A list of length c(c1)/2 with class 'mvcloc' where c is the number of treatments. Each component of the list is a list with class 'mvloc' containing the following components:
location 
the adjusted treatment effect estimate when comparing the
treatment pair given in 
vcov 
the asymptotic covariance matrix of the adjusted treatment effect estimate. 
est.name 
name of the adjusted treatment effect estimate. 
dname 
the treatment pair for which the adjusted treatment effect estimate was computed. 
Jyrki M<f6>tt<f6>nen [email protected]
Oja, H. (2010), Multivariate Nonparametric Methods with R, Springer.
mv.2way.test
, mv.1sample.est
, mv.2sample.est
1 2 3 
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