Free time & chunking modeling
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  1. Function reference
  2. Inverse Logit Transformation
  • Version 0.1
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  • About
  • Development notes
    • Notes
    • 2024-05-16 Meeting Notes
    • Extra primacy parameter
  • Notebooks
    • Data
      • View the data structure
      • Exploratory data analysis
      • Subject-level data
    • Model 1: Original model
      • Main results
      • Parameter identifiability
      • Sensitivity to tau
      • Experiment 3
      • Exploring model predictions
    • Model 2: Include encoding time
      • Main results
    • Model 3: Non-linear recovery
      • Explore model predictions
      • Basic fits
      • Bootstrapping data and fits for parameter uncertainty estimation
      • Extra primacy parameter
      • Linear recovery as a random variable
  • Function reference
    • Aggregate Data
    • Perform bootstrapped estimation
    • Calculate the deviance of a model
    • Get data object from a file
    • Generate a bootstrapped dataset
    • get_data function
    • Inverse Logit Transformation
    • Logit Transformation
    • Calculate the overall deviance
    • Plot Bootstrap Results
    • Plot Linear RV Recovery
    • Preprocesses the data
    • Execute an expression and save the result to a file or load the result from a file if it already exists.
    • Serial Recall Model

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  • Inverse Logit Transformation
    • Description
    • Usage
    • Arguments
    • Value
    • Examples

Inverse Logit Transformation

Description

This function applies the inverse logit transformation to a given value.

Usage

inv_logit(x, lb = 0, ub = 1)

Arguments

  • x: The input value to be transformed.
  • lb: The lower bound of the transformed value. Default is 0.
  • ub: The upper bound of the transformed value. Default is 1.

Value

The transformed value between the lower and upper bounds.

Examples

inv_logit(0) # returns 0.5
inv_logit(0, lb = 0, ub = 10) # returns 5
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get_data function
Logit Transformation