bayesTheorem: Bayes' Theorem.

In petersenlab: A Collection of R Functions by the Petersen Lab

Bayes' Theorem.

Description

Estimate marginal and conditional probabilities using Bayes theorem.

Usage

pA(pAgivenB, pB, pAgivenNotB)

pB(pBgivenA, pA, pBgivenNotA)

pAgivenB(pBgivenA, pA, pB = NULL, pBgivenNotA = NULL)

pBgivenA(pAgivenB, pB, pA = NULL, pAgivenNotB = NULL)

pAgivenNotB(pAgivenB, pA, pB)

pBgivenNotA(pBgivenA, pA, pB)

Arguments

pAgivenB	The conditional probability of A given B.
pB	The marginal probability of event B.
pAgivenNotB	The conditional probability of A given NOT B.
pBgivenA	The conditional probability of B given A.
pA	The marginal probability of event A.
pBgivenNotA	The conditional probability of B given NOT A.

Details

Estimates marginal or conditional probabilities using Bayes theorem.

Value

The requested marginal or conditional probability. One of:

• the marginal probability of A

• the marginal probability of B

• the conditional probability of A given B

• the conditional probability of B given A

• the conditional probability of A given NOT B

• the conditional probability of B given NOT A

See Also

Other bayesian: deriv_d_negBinom()

Examples

pA(pAgivenB = .95, pB = .285, pAgivenNotB = .007171515)

pB(pBgivenA = .95, pA = .285, pBgivenNotA = .007171515)

pAgivenB(pBgivenA = .95, pA = .285, pB = .2758776)
pAgivenB(pBgivenA = .95, pA = .285, pBgivenNotA = .007171515)
pAgivenB(pBgivenA = .95, pA = .003, pBgivenNotA = .007171515)

pBgivenA(pAgivenB = .95, pB = .285, pA = .2758776)
pBgivenA(pAgivenB = .95, pB = .285, pAgivenNotB = .007171515)
pBgivenA(pAgivenB = .95, pB = .003, pAgivenNotB = .007171515)

pAgivenNotB(pAgivenB = .95, pB = .003, pA = .01)

pBgivenNotA(pBgivenA = .95, pA = .003, pB = .01)

petersenlab documentation built on April 4, 2025, 12:22 a.m.