make_brms_mdl_plt: Make bayesian regression models model plot

In ready4-dev/specific: Specify Models to Solve Inverse Problems

Make bayesian regression models model plot

Description

make_brms_mdl_plt() is a Make function that creates a new R object. Specifically, this function implements an algorithm to make bayesian regression models model plot. The function returns Plot (a plot).

Usage

make_brms_mdl_plt(
  outp_smry_ls,
  depnt_var_min_val_1L_dbl = numeric(0),
  depnt_var_desc_1L_chr,
  mdl_nm_1L_chr,
  type_1L_chr,
  base_size_1L_dbl = 8,
  brms_mdl = NULL,
  correspondences_lup = NULL,
  new_var_nm_1L_chr = "Predicted",
  predn_type_1L_chr = NULL,
  x_lbl_1L_chr = NA_character_,
  y_lbl_1L_chr = NA_character_
)

Arguments

outp_smry_ls	Output summary (a list)
depnt_var_min_val_1L_dbl	Dependent variable minimum value (a double vector of length one), Default: numeric(0)
depnt_var_desc_1L_chr	Dependent variable description (a character vector of length one)
mdl_nm_1L_chr	Model name (a character vector of length one)
type_1L_chr	Type (a character vector of length one)
base_size_1L_dbl	Base size (a double vector of length one), Default: 8
brms_mdl	Bayesian regression models (a model), Default: NULL
correspondences_lup	Correspondences (a lookup table), Default: NULL
new_var_nm_1L_chr	New variable name (a character vector of length one), Default: 'Predicted'
predn_type_1L_chr	Prediction type (a character vector of length one), Default: NULL
x_lbl_1L_chr	X label (a character vector of length one), Default: 'NA'
y_lbl_1L_chr	Y label (a character vector of length one), Default: 'NA'

Value

Plot (a plot)

ready4-dev/specific documentation built on Oct. 13, 2023, 7:54 a.m.