find_modfr_glmm: Parse a formula (and possibly subformulas)
In glmmsr: Fit a Generalized Linear Mixed Model

Parse a formula (and possibly subformulas)

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find_modfr_glmm(formula, subformula = NULL, data = NULL,
  family = gaussian, weights = NULL, offset = NULL,
  lme4_control = set_lme4_control())

`formula`	a two-sided linear formula object describing both the fixed-effects and random-effects part of the model, with the response on the left of a `~` operator and the terms, separated by `+` operators, on the right. Random-effects terms are distinguished by vertical bars (`"\|"`) separating expressions for design matrices from grouping factors.
`subformula`	a subformula, describing how a substituted variable depends on covariates, or a list of subformulas, if there is more than one `Sub()` term in `formula`.
`data`	an optional data frame, list or environment containing the variables named in `formula`, and in any of the subformulas.
`family`	a GLM family, see `glm` and `family`.
`weights`	an optional vector of ‘prior weights’ to be used in the fitting process. Should be `NULL` or a numeric vector.
`offset`	this can be used to specify an a priori known component to be included in the linear predictor during fitting. This should be `NULL` or a numeric vector of length equal to the number of cases. One or more `offset` terms can be included in the formula instead or as well, and if more than one is specified their sum is used. See `model.offset`.
`lme4_control`	the result of a call to `lme4_control`, containing control parameters passed to `lme4`. See `?lme4_control`.