glmm: Hmm what to put.
In selectivity: My First Collection of Functions

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

~~ A concise (1-5 lines) description of what the function does. ~~

1	glmm(formula, data, family = c("gaussian", "binomial"), fit = TRUE, M = NULL, method = "default", control = glmm.control(...), ...)

`formula`	~~Describe `formula` here~~
`data`	~~Describe `data` here~~
`family`	~~Describe `family` here~~
`fit`	~~Describe `fit` here~~
`M`	~~Describe `M` here~~
`method`	~~Describe `method` here~~
`control`	~~Describe `control` here~~
`...`	~~Describe `...` here~~

~~ If necessary, more details than the description above ~~

~Describe the value returned If it is a LIST, use

`comp1`	Description of 'comp1'
`comp2`	Description of 'comp2'

~~further notes~~

~~who you are~~

~put references to the literature/web site here ~

~~objects to See Also as help, ~~~

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

test <- 1
print("hello")