`R`

package for
mixed-effects model **REML** incorporating
**G**eneralized **In**verses (so, with some
mental gymnastics: **GREMLIN**).

- gremlin NEWS page

`master`

branch is the most recent production version (often the same as what is available from the R CRAN mirrors)`devel`

branch is a preview of the next release which*should*be functional and error/bug free, but proceed with caution

- From R:
- see the package page for the latest release of gremlin on CRAN where you can download the source.
- install the latest release of the package directly in R:
`R install.packages("gremlin")`

then select your favorite CRAN mirror

- From GitHub:
- install the latest versions directly in R using the
`devtools`

package https://github.com/hadley/devtools: ``` library(devtools)

- install the latest versions directly in R using the

# Install `master`

branch
install_github(“matthewwolak/gremlin”)

# Install `devel`

branch
install_github(“matthewwolak/gremlin”, ref = “devel”) ```

- Estimating autosomal additive and dominance genetic variances

```
library(gremlin)
library(nadiv) #<-- needed for creating inverse relatedness matrices
# Set up a subset of data for the example
warcolak$IDD <- warcolak$ID
# Create generalized inverse matrices
Ainv <- makeAinv(warcolak[, 1:3])$Ainv
Dinv <- makeD(warcolak[, 1:3])$Dinv
# Basic model structure is as follows:
## Fixed effects of sex
## ID = autosomal additive genetic variance term
## IDD = autosomal dominance genetic variance term
grAD <- gremlin(trait1 ~ sex-1,
random = ~ ID + IDD,
ginverse = list(ID = Ainv, IDD = Dinv),
data = warcolak)
# Summary
nrow(warcolak)
summary(grAD)
```