Provide a short description of the model fitted and the fixed effects and (co)variance component estimates obtained for an object of class dmm
.
1 2 
x 
An object of class 
traitset 
A vector containing the names of the subset of traits for which fixed effects and (co)variance components are to be printed. Default is "all" which means to print estimates for all traits present in object 
gls 
Logical flag: should the fixed effects and (co)variance component estimates by GLSb method be printed in addition to the fixed effects and (co)variance component estimates by OLSb method? Default is 
... 
Ellipsis argument. 
This is a short printout without standard errors or confidence limits. For a more extensive printout with standard errors and confidence limits, see function summary.dmm()
.
There is no return value. Function is used for its side effects.
For a similar short printout, but with genetic parameters instead on (co)variance components, see function gprint.dmm()
.
Neville Jackson
Functions summary.dmm()
and gprint.dmm()
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18  library(dmm)
data(sheep.df)
sheep.mdf < mdf(sheep.df,pedcols=c(1:3),factorcols=c(4:6),ycols=c(7:9),
sexcode=c("M","F"),relmat=c("E","A","D"))
# make a simple fit object  OLSb only
sheep.fit1 < dmm(sheep.mdf, Ymat ~ 1 + Year + Sex)
# look at model plus fixed effects and components for all traits
print(sheep.fit1)
## Not run:
# can do the same thing without saving fit object
dmm(sheep.mdf, Ymat ~ 1 + Year + Tb + Sex)
# so this is the default print method for an object of class 'dmm'
## End(Not run)
#cleanup
rm(sheep.fit1)
rm(sheep.mdf)
rm(sheep.df)

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