add_noise_gaussian: Add normal noise with mean 0 to predicted values with...

In tidysynthesis: A Common API for Synthesizing Data

Add normal noise with mean 0 to predicted values with constant variance

Description

Add normal noise with mean 0 to predicted values with constant variance

Usage

add_noise_gaussian(
  model,
  new_data,
  conf_model_data,
  outcome_var,
  col_schema,
  pred,
  variance = NULL,
  rho = NULL,
  sensitivity = NULL
)

Arguments

model	A model_spec or a list of model_specs from library(parsnip)
new_data	A data frame used to generate predictions
conf_model_data	A data frame for estimating the predictive model
outcome_var	A string name representing the outcome variable
col_schema	A list of column schema specifications for the new variable
pred	A vector of values predicted by the model
variance	Sampling variance for additive noise
rho	Alternative privacy loss budget prescribed by the Gaussian mechanism under rho-zero-concentrated differential privacy.
sensitivity	Alternative sample sensitivity prescribed by the Gaussian mechanism under rho-zero-concentrated differential privacy.

Value

A numeric vector with noise added to each prediction

Examples

add_noise_gaussian(
  model = NULL,
  new_data = NULL,
  conf_model_data = NULL,
  outcome_var = NULL,
  col_schema = NULL,
  pred = 1:100,
  variance = 3
)

tidysynthesis documentation built on March 17, 2026, 1:06 a.m.