Description Usage Arguments Value Author(s) References Examples
It performs the multivariate Left Spherically Distributed linear scores test of L\"auter et al. (The Annals of Statistics, 1998) (see also details below).
1 
resp 
The response vector of the regression model. May be
supplied as a vector or as a 
alternative 
The part of the design matrix corresponding to
the alternative hypothesis. The covariates of the null model do
not have to be supplied again here. May be given as a half

null 
The part of the design matrix corresponding to the null hypothesis. May be given as a design matrix or as a half 
data 
Only used when 
D 
is q x p matrix or it is a function with arguments 
The function returns an object of class lsd.object
.
F 
the test statistic 
df 
the degrees of freedom of F 
p 
the associated pvalue 
D 
the matrix used in the test (it provide information on the influence of columns in 

The matched call to 
Livio Finos
J. Laeuter, E. Glimm and S. Kropf (1998) Multivariate test based on LeftSpherically Distributed Linear Scores. The Annals of Statistics, Vol. 26, No. 5, 19721988
L. Finos (2011). A note on LeftSpherically Distributed Test with covariates, Statistics and Probabilty Letters, Volume 81, Issue 6, June 2011, Pages 639641
1 2 3 4 5 6 7 8 9 10 11  set.seed(1)
#Standard multivariate LSD test for one sample case
X=matrix(rnorm(50),5,10)+2
lsd.test(resp=X,alternative=~1)
#Standard multivariate LSD test for two sample case
X2=X+matrix(c(0,0,1,1,1),5,10)*10
lsd.test(resp=X2,null=~1,alternative=c(0,0,1,1,1))
#General multivariate LSD test for linear predictor with covariates
lsd.test(resp=X2,null=cbind(rep(1,5),c(0,0,1,1,1)),alternative=1:5)

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