R/linear_models.R
glm_mverse.Rd
glm_mverse
fits glm
across the multiverse
according to model specifications provided by formula_branch
.
At least one formula_branch
must have been added.
You can also specify the underlying error distribution and
the link function by adding a family_branch
. If no
family_branch
has been provided, it follows
the default behaviour of glm
using the Gaussian
distribution with an identity link.
glm_mverse(.mverse)
A mverse
object with glm
fitted.
Other model fitting functions:
glm.nb_mverse()
,
lm_mverse()
# \donttest{
# Fitting \code{glm} models across a multiverse.
hurricane_strength <- mutate_branch(
NDAM,
HighestWindSpeed,
Minpressure_Updated_2014
)
hurricane_outliers <- filter_branch(
!Name %in% c("Katrina", "Audrey", "Andrew"),
TRUE # include all
)
model_specifications <- formula_branch(
alldeaths ~ MasFem,
alldeaths ~ MasFem + hurricane_strength
)
model_distributions <- family_branch(poisson)
mv <- create_multiverse(hurricane) %>%
add_filter_branch(hurricane_outliers) %>%
add_mutate_branch(hurricane_strength) %>%
add_formula_branch(model_specifications) %>%
add_family_branch(model_distributions) %>%
glm_mverse()
# }