write_ts_mdl_plts: Write time series model plots
In ready4-dev/specific: Specify Models to Solve Inverse Problems

write_ts_mdl_plts

R Documentation

Write time series model plots

Description

write_ts_mdl_plts() is a Write function that writes a file to a specified local directory. Specifically, this function implements an algorithm to write time series model plots. The function returns Model plots paths (a list).

Usage

write_ts_mdl_plts(
  brms_mdl,
  mdl_nm_1L_chr,
  path_to_write_to_1L_chr,
  tfd_data_tb,
  args_ls = NULL,
  consent_1L_chr = "",
  consent_indcs_int = 1L,
  depnt_var_desc_1L_chr = "Utility score",
  depnt_var_nm_1L_chr = "utl_total_w",
  height_dbl = c(rep(6, 2), rep(5, 8)),
  options_chr = c("Y", "N"),
  predn_type_1L_chr = NULL,
  round_var_nm_1L_chr = "round",
  rsl_dbl = rep(300, 10),
  sd_dbl = NA_real_,
  seed_1L_dbl = 23456,
  sfx_1L_chr = " from table",
  table_predn_mdl = NULL,
  tfmn_1L_chr = "NTF",
  units_1L_chr = "in",
  utl_min_val_1L_dbl = -1,
  width_dbl = c(rep(6, 2), rep(6, 8))
)

Arguments

`brms_mdl`	Bayesian regression models (a model)
`mdl_nm_1L_chr`	Model name (a character vector of length one)
`path_to_write_to_1L_chr`	Path to write to (a character vector of length one)
`tfd_data_tb`	Transformed data (a tibble)
`args_ls`	Arguments (a list), Default: NULL
`consent_1L_chr`	Consent (a character vector of length one), Default: ”
`consent_indcs_int`	Consent indices (an integer vector), Default: 1
`depnt_var_desc_1L_chr`	Dependent variable description (a character vector of length one), Default: 'Utility score'
`depnt_var_nm_1L_chr`	Dependent variable name (a character vector of length one), Default: 'utl_total_w'
`height_dbl`	Height (a double vector), Default: c(rep(6, 2), rep(5, 8))
`options_chr`	Options (a character vector), Default: c("Y", "N")
`predn_type_1L_chr`	Prediction type (a character vector of length one), Default: NULL
`round_var_nm_1L_chr`	Round variable name (a character vector of length one), Default: 'round'
`rsl_dbl`	Resolution (a double vector), Default: rep(300, 10)
`sd_dbl`	Standard deviation (a double vector), Default: NA
`seed_1L_dbl`	Seed (a double vector of length one), Default: 23456
`sfx_1L_chr`	Suffix (a character vector of length one), Default: ' from table'
`table_predn_mdl`	Table prediction (a model), Default: NULL
`tfmn_1L_chr`	Transformation (a character vector of length one), Default: 'NTF'
`units_1L_chr`	Units (a character vector of length one), Default: 'in'
`utl_min_val_1L_dbl`	Utility minimum value (a double vector of length one), Default: -1
`width_dbl`	Width (a double vector), Default: c(rep(6, 2), rep(6, 8))