bflt: Compute BF(Less than)
In MIRES: Measurement Invariance Assessment Using Random Effects Models and Shrinkage
Description
Usage
Arguments
Details
Value
Author(s)
Description
Computes the BF12, where 1 is less than and 2 is greater than.
Usage
1
Arguments
mcmc
MCMC vector.
less_than
Value to test.
prior_cumul_fun
CDF function.
...
Details
The BF12 here is BF for a parameter being less than a threshold, t, vs the parameter being greater than t.
This borrows from the encompassing approach, where u is the unconstrained prior:
BF1u = p(D|H = 1) / p(D|H = u)
BF2u = p(D|H = 2) / p(D|H = u)
BF12 = BF1u / BF2u.
BF1u = int p(D|H = 1, theta_1)p(theta_1 | H = 1) / p(D|H = u, theta_u)p(theta_u | H=u)
Value
BF12 value.
Author(s)
Stephen Martin
MIRES documentation built on Feb. 22, 2021, 5:10 p.m.
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Description Usage Arguments Details Value Author(s)
Description
Computes the BF12, where 1 is less than and 2 is greater than.
Usage
1 |
Arguments
mcmc |
MCMC vector. |
less_than |
Value to test. |
prior_cumul_fun |
CDF function. |
... |
Details
The BF12 here is BF for a parameter being less than a threshold, t, vs the parameter being greater than t. This borrows from the encompassing approach, where u is the unconstrained prior: BF1u = p(D|H = 1) / p(D|H = u) BF2u = p(D|H = 2) / p(D|H = u) BF12 = BF1u / BF2u.
BF1u = int p(D|H = 1, theta_1)p(theta_1 | H = 1) / p(D|H = u, theta_u)p(theta_u | H=u)
Value
BF12 value.
Author(s)
Stephen Martin
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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