renew-methods: Renew values in a dataset
In ready4-dev/specific: Specify Models to Solve Inverse Problems

renew.specific_models

R Documentation

Renew values in a dataset

Description

renew.specific_models() is a renew method that renews an instance of a class by updating it with new data. This method is implemented for the Candidate models lookup table The function is called for its side effects and does not return a value.

renew.specific_predictors() is a renew method that renews an instance of a class by updating it with new data. This method is implemented for the Candidate predictors lookup table The function is called for its side effects and does not return a value.

renew method applied to SpecificProject

renew method applied to SpecificMixed

Usage

renew.specific_models(
  x,
  short_name_chr = NA_character_,
  long_name_chr = NA_character_,
  control_chr = NA_character_,
  family_chr = NA_character_,
  fn_chr = NA_character_,
  start_chr = NA_character_,
  predn_type_chr = NA_character_,
  tfmn_chr = NA_character_,
  tfmn_for_bnml_lgl = NA,
  fixed_acronym_chr = NA_character_,
  mixed_acronym_chr = NA_character_,
  mixed_type_chr = NA_character_,
  with_chr = NA_character_,
  filter_cdn_1L_chr = NA_character_,
  new_cases_r3 = NULL,
  new_ready4_dict_r3 = deprecated(),
  slice_indcs_int = NA_integer_
)

## S4 method for signature 'specific_models'
renew(
  x,
  short_name_chr = NA_character_,
  long_name_chr = NA_character_,
  control_chr = NA_character_,
  family_chr = NA_character_,
  fn_chr = NA_character_,
  start_chr = NA_character_,
  predn_type_chr = NA_character_,
  tfmn_chr = NA_character_,
  tfmn_for_bnml_lgl = NA,
  fixed_acronym_chr = NA_character_,
  mixed_acronym_chr = NA_character_,
  mixed_type_chr = NA_character_,
  with_chr = NA_character_,
  filter_cdn_1L_chr = NA_character_,
  new_cases_r3 = NULL,
  new_ready4_dict_r3 = deprecated(),
  slice_indcs_int = NA_integer_
)

renew.specific_predictors(
  x,
  short_name_chr = NA_character_,
  long_name_chr = NA_character_,
  min_val_dbl = NA_real_,
  max_val_dbl = NA_real_,
  class_chr = NA_character_,
  increment_dbl = NA_real_,
  class_fn_chr = NA_character_,
  mdl_scaling_dbl = NA_real_,
  covariate_lgl = NA,
  filter_cdn_1L_chr = NA_character_,
  new_cases_r3 = NULL,
  new_ready4_dict_r3 = deprecated(),
  slice_indcs_int = NA_integer_
)

## S4 method for signature 'specific_predictors'
renew(
  x,
  short_name_chr = NA_character_,
  long_name_chr = NA_character_,
  min_val_dbl = NA_real_,
  max_val_dbl = NA_real_,
  class_chr = NA_character_,
  increment_dbl = NA_real_,
  class_fn_chr = NA_character_,
  mdl_scaling_dbl = NA_real_,
  covariate_lgl = NA,
  filter_cdn_1L_chr = NA_character_,
  new_cases_r3 = NULL,
  new_ready4_dict_r3 = deprecated(),
  slice_indcs_int = NA_integer_
)

## S4 method for signature 'SpecificProject'
renew(x, new_val_xx, type_1L_chr = "results", what_1L_chr = "prefd_mdls", ...)

## S4 method for signature 'SpecificMixed'
renew(
  x,
  new_val_xx = NULL,
  a_Ready4useRepos,
  type_1L_chr = "results",
  what_1L_chr = "dv_ls",
  ...
)

Arguments

`x`	An object of class SpecificMixed
`short_name_chr`	Short name (a character vector), Default: 'NA'
`long_name_chr`	Long name (a character vector), Default: 'NA'
`control_chr`	Control (a character vector), Default: 'NA'
`family_chr`	Family (a character vector), Default: 'NA'
`fn_chr`	Function (a character vector), Default: 'NA'
`start_chr`	Start (a character vector), Default: 'NA'
`predn_type_chr`	Prediction type (a character vector), Default: 'NA'
`tfmn_chr`	Transformation (a character vector), Default: 'NA'
`tfmn_for_bnml_lgl`	Transformation for binomial (a logical vector), Default: NA
`fixed_acronym_chr`	Fixed acronym (a character vector), Default: 'NA'
`mixed_acronym_chr`	Mixed acronym (a character vector), Default: 'NA'
`mixed_type_chr`	Mixed type (a character vector), Default: 'NA'
`with_chr`	With (a character vector), Default: 'NA'
`filter_cdn_1L_chr`	Filter condition (a character vector of length one), Default: 'NA'
`new_cases_r3`	New cases (a ready4 S3), Default: NULL
`new_ready4_dict_r3`	New ready4 dictionary (a ready4 S3), Default: deprecated()
`slice_indcs_int`	Slice indices (an integer vector), Default: NA
`min_val_dbl`	Minimum value (a double vector), Default: NA
`max_val_dbl`	Maximum value (a double vector), Default: NA
`class_chr`	Class (a character vector), Default: 'NA'
`increment_dbl`	Increment (a double vector), Default: NA
`class_fn_chr`	Class function (a character vector), Default: 'NA'
`mdl_scaling_dbl`	Model scaling (a double vector), Default: NA
`covariate_lgl`	Covariate (a logical vector), Default: NA
`new_val_xx`	New value (an output object of multiple potential types), Default: NULL
`type_1L_chr`	Type (a character vector of length one), Default: 'results'
`what_1L_chr`	What (a character vector of length one), Default: 'dv_ls'
`...`	Additional arguments
`a_Ready4useRepos`	PARAM_DESCRIPTION