find_modfr_glmm

a two-sided linear formula object describing both the
    fixed-effects and fixed-effects part of the model, with the response
    on the left of a <code>~</code> operator and the terms, separated by
    <code>+</code> operators, on the right.  Random-eff

formula

a subformula, describing how a substituted variable
depends on covariates, or a list of subformulas, if there is more
than one <code>Sub()</code> term in <code>formula</code>.

subformula

an optional data frame, list or environment containing the
variables named in <code>formula</code>, and in any of the subformulas.

data

a GLM family, see <code><a href="/link/glm?package=glmmsr&version=0.1.0&to=stats" rd-options="stats" data-mini-rdoc="stats::glm">glm</a></code> and
    <code><a href="/link/family?package=glmmsr&version=0.1.0&to=stats" rd-options="stats" data-mini-rdoc="stats::family">family</a></code>.

family

an optional vector of <squote>prior weights</squote> to be used
      in the fitting process.  Should be <code>NULL</code> or a numeric
      vector.

weights

this can be used to specify an <em>a priori</em> known
    component to be included in the linear predictor during
    fitting. This should be <code>NULL</code> or a numeric vector of length
    equal to the number of cases.  One or more <code></code>

offset

Parse a formula (and possibly subformulas)

Conduct inference about generalized linear mixed models, with a
    choice about which method to use to approximate the likelihood. In addition
    to the Laplace and adaptive Gaussian quadrature approximations, which are
    borrowed from 'lme4', the likelihood may be approximated by the sequential
    reduction approximation, or an importance sampling approximation. These
    methods provide an accurate approximation to the likelihood in some
    situations where it is not possible to use adaptive Gaussian quadrature.

find_modfr_glmm: Parse a formula (and possibly subformulas)

Description

Usage

Arguments