Description Usage Arguments Details Value Note Author(s) See Also Examples

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 GLS-b method be printed in addition to the fixed effects and (co)variance component estimates by OLS-b 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 - OLS-b 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)
``` |

dmm documentation built on May 19, 2017, 9:36 a.m.

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