calc_joint: Calculate the joint density probability p(x,y|th_x,th_y)
In MichaelHoltonPrice/yada: Yet Another Demographic Analysis package
Description
Usage
Arguments
Value
View source: R/multivariate_models.R
Description
Calculate the joint density probability p(x,y|th_x,th_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, th_x, th_y, mod_spec)
Arguments
xcalc
A vector of ages at which to calculate the posterior probability
y
The response vector for a single observation
th_x
Parameterization for prior on x
th_y
Parameterization for likelihood (conditional on x)
mod_spec
The model specification
Value
A vector of joint probabilities
MichaelHoltonPrice/yada documentation built on Sept. 19, 2021, 11:27 p.m.
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Description Usage Arguments Value
View source: R/multivariate_models.R
Description
Calculate the joint density probability p(x,y|th_x,th_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, th_x, th_y, mod_spec)
|
Arguments
xcalc |
A vector of ages at which to calculate the posterior probability |
y |
The response vector for a single observation |
th_x |
Parameterization for prior on x |
th_y |
Parameterization for likelihood (conditional on x) |
mod_spec |
The model specification |
Value
A vector of joint probabilities
R Package Documentation
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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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