investigate-SpecificModels | R Documentation |
investigate method applied to SpecificModels
investigate method applied to SpecificMixed
investigate method applied to SpecificPredictors
investigate method applied to SpecificFixed
## S4 method for signature '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 signature '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 signature 'SpecificPredictors'
investigate(
x,
consent_1L_chr = "",
depnt_var_min_val_1L_dbl = numeric(0),
signft_covars_cdn_1L_chr = "any",
...
)
## S4 method for signature '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),
...
)
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' |
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.)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.