Bayesian_Process: Bayesian Process for Cohen's d in t-test Designs
In rnorouzian/BayesianforL2: Introduction to Bayesian Thinking for L2 Researchers
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Examplifies the Bayesian process to estimate Cohen's d in t-test Designs.
Usage
1
Bayesian_Process(d, N1, N2 = NULL)
Arguments
d
Observed estimate of Cohen's d.
N1
Group 1 Sample size.
N2
Group 2 Sample size (if a two-sample design).
Value
Graphically details the process of bayesian estimation of effect size by focusing on
the role of (1) prior, and (2) Likelihood Function to produce the posterior
for Cohen's d.
Author(s)
Reza Norouzian <rnorouzian@gmail.com>
Examples
1
2
3
# Bayesian_Process(N1 = 50, N2 = 50, d = .4)
# Bayesian_Process(N1 = 50, d = .4)
rnorouzian/BayesianforL2 documentation built on May 29, 2019, 8:37 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Examplifies the Bayesian process to estimate Cohen's d in t-test Designs.
Usage
1 | Bayesian_Process(d, N1, N2 = NULL)
|
Arguments
d |
Observed estimate of Cohen's d. |
N1 |
Group 1 Sample size. |
N2 |
Group 2 Sample size (if a two-sample design). |
Value
Graphically details the process of bayesian estimation of effect size by focusing on the role of (1) prior, and (2) Likelihood Function to produce the posterior for Cohen's d.
Author(s)
Reza Norouzian <rnorouzian@gmail.com>
Examples
1 2 3 | # Bayesian_Process(N1 = 50, N2 = 50, d = .4)
# Bayesian_Process(N1 = 50, d = .4)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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