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Investigate solutions to an inverse problem

Source: R/mthd_investigate.R
investigate-methods.Rd

investigate method applied to SpecificModels

investigate method applied to SpecificMixed

investigate method applied to SpecificPredictors

investigate method applied to SpecificFixed

Usage

# S4 method for SpecificModels
investigate(
  x,
  consent_1L_chr = "",
  depnt_var_max_val_1L_dbl = Inf,
  depnt_var_min_val_1L_dbl = 1e-05,
  session_ls = NULL,
  ...
)

# S4 method for SpecificMixed
investigate(
  x,
  backend_1L_chr = "cmdstanr",
  combinations_1L_lgl = F,
  consent_1L_chr = "",
  cores_1L_int = 1L,
  depnt_var_min_val_1L_dbl = numeric(0),
  existing_predrs_ls = NULL,
  max_nbr_of_covars_1L_int = integer(0),
  new_dir_nm_1L_chr = "F_TS_Mdls",
  scndry_anlys_params_ls = NULL,
  ...
)

# S4 method for SpecificPredictors
investigate(
  x,
  consent_1L_chr = "",
  depnt_var_min_val_1L_dbl = numeric(0),
  signft_covars_cdn_1L_chr = "any",
  ...
)

# S4 method for SpecificFixed
investigate(
  x,
  combinations_1L_lgl = F,
  consent_1L_chr = "",
  depnt_var_min_val_1L_dbl = numeric(0),
  existing_predrs_ls = NULL,
  max_nbr_of_covars_1L_int = integer(0),
  ...
)

Arguments

x

An object of class SpecificFixed

consent_1L_chr

Consent (a character vector of length one), Default: ''

depnt_var_max_val_1L_dbl

Dependent variable maximum value (a double vector of length one), Default: Inf

depnt_var_min_val_1L_dbl

Dependent variable minimum value (a double vector of length one), Default: numeric(0)

session_ls

Session (a list), Default: NULL

...

Additional arguments

backend_1L_chr

Backend (a character vector of length one), Default: 'cmdstanr'

combinations_1L_lgl

Combinations (a logical vector of length one), Default: F

cores_1L_int

Cores (an integer vector of length one), Default: 1

existing_predrs_ls

Existing predictors (a list), Default: NULL

max_nbr_of_covars_1L_int

Maximum number of covariates (an integer vector of length one), Default: integer(0)

new_dir_nm_1L_chr

New directory name (a character vector of length one), Default: 'F_TS_Mdls'

scndry_anlys_params_ls

Secondary analysis parameters (a list), Default: NULL

signft_covars_cdn_1L_chr

Significant covariates condition (a character vector of length one), Default: 'any'

Value

X (Modelling project dataset, input parameters and predictor comparison results.)

x (An object of class SpecificMixed)

X (Modelling project dataset, input parameters and complete fixed models results.)

X (Modelling project dataset, input parameters and complete mixed models results.)