add_noise_laplace: Add Laplace noise with mean 0 to predicted values with...

In tidysynthesis: A Common API for Synthesizing Data

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

Description

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

Usage

add_noise_laplace(
  model,
  new_data,
  conf_model_data,
  outcome_var,
  col_schema,
  pred,
  variance = NULL,
  epsilon = 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
epsilon	Alternative privacy loss budget prescribed by the Laplace mechanism under epsilon differential privacy.
sensitivity	Alternative sample sensitivity prescribed by the Laplace mechanism under epsilon differential privacy.

Value

A numeric vector with noise added to each prediction

Examples

add_noise_laplace(
  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.