| pedigreemm {pedigreemm} | R Documentation |
Fit linear or generalized linear mixed models incorporating the effects of a pedigree.
pedigreemm(formula, data, family = NULL, REML = TRUE,
pedigree = list(), control = list(),
start = NULL, verbose = FALSE, subset, weights,
na.action, offset, contrasts = NULL, model = TRUE,
x = TRUE, ...)
pedigree |
a named list of pedigree objects.
The names must correspond to the names of grouping factors for
random-effects terms in the formula argument. |
formula |
as in lmer |
data |
as in lmer |
family |
as in lmer |
REML |
as in lmer |
control |
as in lmer |
start |
as in lmer |
verbose |
as in lmer |
subset |
as in lmer |
weights |
as in lmer |
na.action |
as in lmer |
offset |
as in lmer |
contrasts |
as in lmer |
model |
as in lmer |
x |
as in lmer |
... |
as in lmer |
All arguments to this function are the same as those to the function
lmer except pedigree which must be a named list of
pedigree objects. Each name (frequently there is
only one) must correspond to the name of a grouping factor in a
random-effects term in the formula. The observed levels
of that factor must be contained in the pedigree. For each pedigree
the (left) Cholesky factor of the
relationship matrix restricted to the observed levels is calculated
using relfactor and applied to the model matrix for that
term.
a pedigreemm object.
pedigreemm, pedigree,
relfactor.