calc_joint: Calculate the joint probability for the mixed cumulative...
In eehh-stanford/yada: Yet Another Demographic Analysis package
Description
Usage
Arguments
Value
Author(s)
Description
calc_joint calculates the joint density probability p(x,y|theta_x,theta_y) for the mixed cumulative probit model at the points in xcalc. xcalc is assumed to be evenly spaced.
Usage
1
calc_joint(xcalc, y, theta_x, theta_y, hp)
Arguments
xcalc
A vector of ages at which to calculate the posterior probability
y
An observation of traits used for the posterior calculation
theta_x
Parameterization for prior on x
theta_y
Parameterization for likelihood
hp
Hyperparameters
Value
A vector of joint probabilities
Author(s)
Michael Holton Price <MichaelHoltonPrice@gmail.com>
eehh-stanford/yada documentation built on June 18, 2020, 8:05 p.m.
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Description Usage Arguments Value Author(s)
Description
calc_joint calculates the joint density probability p(x,y|theta_x,theta_y) for the mixed cumulative probit model at the points in xcalc. xcalc is assumed to be evenly spaced.
Usage
1 | calc_joint(xcalc, y, theta_x, theta_y, hp)
|
Arguments
xcalc |
A vector of ages at which to calculate the posterior probability |
y |
An observation of traits used for the posterior calculation |
theta_x |
Parameterization for prior on x |
theta_y |
Parameterization for likelihood |
hp |
Hyperparameters |
Value
A vector of joint probabilities
Author(s)
Michael Holton Price <MichaelHoltonPrice@gmail.com>
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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