error_catch: General Error Catching

In gfoRmula: Parametric G-Formula

General Error Catching

Description

This internal function catches various potential errors in the user input in gformula_survival, gformula_continuous_eof, and gformula_binary_eof.

Usage

error_catch(
  id,
  nsimul,
  intvars,
  interventions,
  int_times,
  int_descript,
  covnames,
  covtypes,
  basecovs,
  histvars,
  histories,
  compevent_model,
  hazardratio,
  intcomp,
  time_points,
  outcome_type,
  time_name,
  obs_data,
  parallel,
  ncores,
  nsamples,
  sim_data_b,
  outcome_name,
  compevent_name,
  comprisk,
  censor,
  censor_name,
  covmodels,
  histvals,
  ipw_cutoff_quantile,
  ipw_cutoff_value
)

Arguments

id	Character string specifying the name of the ID variable in obs_data.
nsimul	Number of subjects for whom to simulate data.
intvars	List, whose elements are vectors of character strings. The kth vector in intvars specifies the name(s) of the variable(s) to be intervened on in each round of the simulation under the kth intervention in interventions.
interventions	List, whose elements are lists of vectors. Each list in interventions specifies a unique intervention on the relevant variable(s) in intvars. Each vector contains a function implementing a particular intervention on a single variable, optionally followed by one or more "intervention values" (i.e., integers used to specify the treatment regime).
int_times	List, whose elements are lists of vectors. The kth list in int_times corresponds to the kth intervention in interventions. Each vector specifies the time points in which the relevant intervention is applied on the corresponding variable in intvars. When an intervention is not applied, the simulated natural course value is used. By default, this argument is set so that all interventions are applied in all time points.
int_descript	Vector of character strings, each describing an intervention.
covnames	Vector of character strings specifying the names of the time-varying covariates in obs_data.
covtypes	Vector of character strings specifying the "type" of each time-varying covariate included in covnames. The possible "types" are: "binary", "normal", "categorical", "bounded normal", "zero-inflated normal", "truncated normal", "absorbing", "categorical time", and "custom".
basecovs	Vector of character strings specifying the names of baseline covariates in obs_data.
histvars	List of vectors. The kth vector specifies the names of the variables for which the kth history function in histories is to be applied.
histories	Vector of history functions to apply to the variables specified in histvars.
compevent_model	Model statement for the competing event variable.
hazardratio	Logical scalar indicating whether the hazard ratio should be calculated between two interventions.
intcomp	List of two numbers indicating a pair of interventions to be compared by a hazard ratio. The default is NA, resulting in no hazard ratio calculation.
time_points	Number of time points to simulate.
outcome_type	Character string specifying the "type" of the outcome. The possible "types" are: "survival", "continuous_eof", and "binary_eof".
time_name	Character string specifying the name of the time variable in obs_data.
obs_data	Data table containing the observed data.
parallel	Logical scalar indicating whether to parallelize simulations of different interventions to multiple cores.
ncores	Integer specifying the number of cores to use in parallel simulation.
nsamples	Integer specifying the number of bootstrap samples to generate.
sim_data_b	Logical scalar indicating whether to return the simulated data set. If bootstrap samples are used (i.e., nsamples is set to a value greater than 0), this argument must be set to FALSE.
outcome_name	Character string specifying the name of the outcome variable in obs_data.
compevent_name	Character string specifying the name of the competing event variable in obs_data.
comprisk	Logical scalar indicating the presence of a competing event.
censor	Logical scalar indicating the presence of a censoring variable in obs_data.
censor_name	Character string specifying the name of the censoring variable in obs_data.
covmodels	Vector of model statements for the time-varying covariates.
histvals	List of length 3. First element contains a vector of integers specifying the number of lags back for the lagged function. Second element contains a vector of integers indicating the number of lags back for the lagavg function. The last element is an indicator whether a cumavg term appears in any of the model statements.
ipw_cutoff_quantile	Percentile by which to truncate inverse probability weights.
ipw_cutoff_value	Cutoff value by which to truncate inverse probability weights.

Value

No value is returned.

gfoRmula documentation built on May 31, 2023, 9:46 p.m.