modavg_plots: Model average plots

In xpose.xtras: Extra Functionality for the 'xpose' Package

Model average plots

Description

This is for use when the model averaging of a set is planned.

Usage

dv_vs_ipred_modavg(
  xpdb_s,
  ...,
  .lineage = FALSE,
  algorithm = c("maa", "msa"),
  weight_type = c("individual", "population"),
  auto_backfill = FALSE,
  weight_basis = c("ofv", "aic", "res"),
  res_col = "RES",
  quiet
)

dv_vs_pred_modavg(
  xpdb_s,
  ...,
  .lineage = FALSE,
  algorithm = c("maa", "msa"),
  weight_type = c("individual", "population"),
  auto_backfill = FALSE,
  weight_basis = c("ofv", "aic", "res"),
  res_col = "RES",
  quiet
)

ipred_vs_idv_modavg(
  xpdb_s,
  ...,
  .lineage = FALSE,
  algorithm = c("maa", "msa"),
  weight_type = c("individual", "population"),
  auto_backfill = FALSE,
  weight_basis = c("ofv", "aic", "res"),
  res_col = "RES",
  quiet
)

pred_vs_idv_modavg(
  xpdb_s,
  ...,
  .lineage = FALSE,
  algorithm = c("maa", "msa"),
  weight_type = c("individual", "population"),
  auto_backfill = FALSE,
  weight_basis = c("ofv", "aic", "res"),
  res_col = "RES",
  quiet
)

plotfun_modavg(
  xpdb_s,
  ...,
  .lineage = FALSE,
  avg_cols = NULL,
  avg_by_type = NULL,
  algorithm = c("maa", "msa"),
  weight_type = c("individual", "population"),
  auto_backfill = FALSE,
  weight_basis = c("ofv", "aic", "res"),
  res_col = "RES",
  .fun = NULL,
  .funargs = list(),
  quiet
)

Arguments

xpdb_s	<xpose_set> object
...	<tidyselect> of models in set. If empty, all models are used in order of their position in the set. May also use a formula, which will just be processed with all.vars().
.lineage	<logical> where if TRUE, ... is processed
algorithm	<character> Model selection or model averaging
weight_type	<character> Individual-level averaging or by full dataset.
auto_backfill	<logical> If true, <backfill_iofv> is automatically applied.
weight_basis	<character> Weigh by OFV (default), AIC or residual.
res_col	<character> Column to weight by if "res" weight basis.
quiet	<logical> Minimize extra output.
avg_cols	<tidyselect> columns in data to average
avg_by_type	<character> Mainly for use in wrapper functions. Column type to average, but resulting column names must be valid for avg_cols (ie, same across all objects in the set). avg_cols will be overwritten.
.fun	<function> For slightly more convenient piping of model-averaged xpose_data into a plotting function.
.funargs	<list> Extra args to pass to function. If passing tidyselect arguments, be mindful of where quosures might be needed. See Examples.

Value

The desired plot

See Also

modavg_xpdb()

Examples

pheno_set %>%
  dv_vs_ipred_modavg(run8,run9,run10, auto_backfill = TRUE)

pheno_set %>%
  dv_vs_pred_modavg(run8,run9,run10, auto_backfill = TRUE)

pheno_set %>%
  ipred_vs_idv_modavg(run8,run9,run10, auto_backfill = TRUE)

pheno_set %>%
  pred_vs_idv_modavg(run8,run9,run10, auto_backfill = TRUE)

# Model averaged ETA covariates
pheno_set %>%
  plotfun_modavg(run8,run9,run10, auto_backfill = TRUE,
     avg_by_type = "eta",.fun = eta_vs_catcov,
     # Note quoting
     .funargs = list(etavar=quote(ETA1)))

xpose.xtras documentation built on April 4, 2025, 2:13 a.m.