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rstan
to be a suggested package to simplify the
installation process. This means that the Bayesian imputation
functionality will not be available by default. To use this feature, you
will need to install rstan
separately (#441)seed
argument to
method_bayes()
in favour of using the base
set.seed()
function (#431)rbmi
(#406)lsmeans()
for better consistency with the
emmeans
package (#412)
lsmeans(..., weights = "proportional")
to
lsmeans(..., weights = "counterfactual")
to more accurately
reflect the weights used in the calculation.lsmeans(..., weights = "proportional_em")
which
provides consistent results with
emmeans(..., weights = "proportional")
lsmeans(..., weights = "proportional")
has been left in
the package for backwards compatibility and is an alias for
lsmeans(..., weights = "counterfactual")
but now gives a
message prompting users to use either “proptional_em” or
“counterfactual” instead.analyse()
function (#370)mmrm
package (#437)rbmi
citation detail (#423 #425)impute()
(#408)pkgdown
website (#433)rbmi
depends on|>
in testing code so package
is backwards compatible with older serversglmmTMB
dependency with the
mmrm
package. This has resulted in the package being more
stable (less model fitting convergence issues) as well as speeding up
run times 3-fold.delta_template()
draws()
simulate_data()
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.