maeve: Modeling Accessories Enabling Visualization of Experiments

Description Usage Arguments Value Author(s) References Examples

Estimate linear mixed and / or gamm4 and/or piecewise linear and/or polynomial models and return in a list.

models_in_list(
  clean_DF,
  metric = c("linear", "AUC", "ITGR"),
  study_ID_value,
  progress,
  number_basis_vecs,
  min_basis_vecs,
  max_basis_vecs,
  weight_lmer_option = c("uniform", "overweight_baseline"),
  lme4_formula = formula("y ~ group + group:x + ( 1 + x | ID )"),
  gam_formula_char_list = list(prefix = "y ~ group +  s( x, bs = \"tp\", k =", suffix
    = ", by = group )"),
  allow_basis_vec_n_change = TRUE,
  allowed_number_fix_attempts = 20
)

`clean_DF`	data.frame with study data loaded and organized for the modeling call.
`metric`	character vector specifying what metric(s) to use in longitudinal modeling.
`study_ID_value`	character string with five digit DIVOS study ID, OR a DivoStudy object.
`progress`	logical determining whether to send interim progress messages.
`number_basis_vecs`	numeric: number of basis_vecs to include in spline basis used by mgcv
`min_basis_vecs`	numeric lower bound on number of basis_vecs in spline basis.
`max_basis_vecs`	numeric upper bound on number of basis_vecs in spline basis.
`weight_lmer_option`	character ("uniform" or "overweight_baseline") specifying which of two weighting option schemes to use for linear modeling intercept.
`lme4_formula`	formula for lmer() call.
`gam_formula_char_list`	two component list of character strings providing the mgcv::gam() formula prefix & suffix to the basis_vec value.
`allow_basis_vec_n_change`	logical allow the function to change the number of basis_vecs to avoid a crash?
`allowed_number_fix_attempts`	numeric nonnegative integer.