joint_p: Joint probability between two indicators
In maxbiostat/BinaryMarkovChains: Utilities for Two-State Discrete-Time Markov Chains
View source: R/binary_multiESS.R
joint_p R Documentation
Joint probability between two indicators
Description
Joint probability between two indicators
Usage
joint_p(a, b, log = FALSE)
Arguments
a
a vector with an indicator variable.
b
a vector with an indicator variable.
log
logical. If TRUE returns the log probability.
Value
joint probability
Examples
X <- rbinom(1000, size = 1, p = .25)
Y <- rbinom(1000, size = 1, p = .75)
joint_p(X, Y)
maxbiostat/BinaryMarkovChains documentation built on Dec. 11, 2023, 4:29 a.m.
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View source: R/binary_multiESS.R
| joint_p | R Documentation |
Joint probability between two indicators
Description
Joint probability between two indicators
Usage
joint_p(a, b, log = FALSE)
Arguments
a |
a vector with an indicator variable. |
b |
a vector with an indicator variable. |
log |
logical. If |
Value
joint probability
Examples
X <- rbinom(1000, size = 1, p = .25)
Y <- rbinom(1000, size = 1, p = .75)
joint_p(X, Y)
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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