xpose.bootgam: Title

In xpose4: Diagnostics for Nonlinear Mixed-Effect Models

Title

Description

Title

Usage

xpose.bootgam(
  object,
  n = n,
  id = object@Prefs@Xvardef$id,
  oid = "OID",
  seed = NULL,
  parnam = xvardef("parms", object)[1],
  covnams = xvardef("covariates", object),
  conv.value = object@[e-mail]$conv.value,
  check.interval = as.numeric(object@[e-mail]$check.interval),
  start.check = as.numeric(object@[e-mail]$start.check),
  algo = object@[e-mail]$algo,
  start.mod = object@[e-mail]$start.mod,
  liif = as.numeric(object@[e-mail]$liif),
  ljif.conv = as.numeric(object@[e-mail]$ljif.conv),
  excluded.ids = as.numeric(object@[e-mail]$excluded.ids),
  ...
)

Arguments

object	An xpose.data object.
n	number of bootstrap iterations
id	column name of id
oid	create a new column with the original ID data
seed	random seed
parnam	ONE (and only one) model parameter name.
covnams	Covariate names to test on parameter.
conv.value	Convergence value
check.interval	How often to check the convergence
start.check	When to start checking
algo	Which algorithm to use
start.mod	which start model
liif	The liif value
ljif.conv	The convergence value for the liif
excluded.ids	ID values to exclude.
...	Used to pass arguments to more basic functions.

Value

a list of results from the bootstrap of the GAM.

See Also

Other GAM functions: GAM_summary_and_plot, xp.get.disp(), xp.scope3(), xpose.gam(), xpose4-package

Examples

## Not run: 
## filter out occasion as a covariate as only one value
all_covs <- xvardef("covariates",simpraz.xpdb)
some_covs <- all_covs[!(all_covs %in% "OCC") ] 

## here only running n=5 replicates to see that things work
##   use something like n=100 for resonable results
boot_gam_obj <- xpose.bootgam(simpraz.xpdb,5,parnam="KA",covnams=some_covs,seed=1234)

## End(Not run)

xpose4 documentation built on May 29, 2024, 7:56 a.m.