sim_build_models_lmer: build lmer model from simulated data

In wolski/prolfqua: Proteomics Label Free Quantification

build lmer model from simulated data

Description

build lmer model from simulated data

Usage

sim_build_models_lmer(
  model = c("parallel2", "parallel3", "factors", "interaction"),
  Nprot = 10,
  with_missing = TRUE,
  weight_missing = 1
)

See Also

Other modelling: Contrasts, ContrastsMissing, ContrastsModerated, ContrastsPlotter, ContrastsProDA, ContrastsROPECA, ContrastsTable, INTERNAL_FUNCTIONS_BY_FAMILY, LR_test(), Model, build_model(), contrasts_fisher_exact(), get_anova_df(), get_complete_model_fit(), get_p_values_pbeta(), isSingular_lm(), linfct_all_possible_contrasts(), linfct_factors_contrasts(), linfct_from_model(), linfct_matrix_contrasts(), merge_contrasts_results(), model_analyse(), model_summary(), moderated_p_limma(), moderated_p_limma_long(), my_contest(), my_contrast(), my_contrast_V1(), my_contrast_V2(), my_glht(), pivot_model_contrasts_2_Wide(), plot_lmer_peptide_predictions(), sim_build_models_lm(), sim_make_model_lm(), sim_make_model_lmer(), strategy_lmer(), summary_ROPECA_median_p.scaled()

Examples

undebug(sim_build_models_lmer)
modi <- sim_build_models_lmer(model = "interaction", weight_missing = 1)
stopifnot(sum(modi$modelDF$exists_lmer) == 6)
mod2 <- sim_build_models_lmer(model = "parallel2", weight_missing = 1)
stopifnot(sum(mod2$modelDF$exists_lmer) == 6)
mod4 <- sim_build_models_lmer(model = "parallel3", weight_missing = 1)
stopifnot(sum(mod4$modelDF$exists_lmer) == 6)
modf <- sim_build_models_lmer(model = "factors", weight_missing = 1)
stopifnot(sum(modf$modelDF$exists_lmer) == 6)

wolski/prolfqua documentation built on Dec. 4, 2024, 11:18 p.m.