d_fullcond: d full conditional distribution
In DouglasMesquita/robit: FLAMES: Flexible Link functions with AsyMptotES
d_fullcond R Documentation
d full conditional distribution
Description
d full conditional distribution
Usage
d_fullcond(y, X, p_beta, p_c, p_d, p_df, inv_link_f, a_d, b_d,
log = TRUE, method = "ARMS")
Arguments
y
Bernoulli observed values
X
Covariate matrix
p_beta
Regression coefficients
p_c
c parameter
p_d
d parameter
p_df
Degrees of freedom
inv_link_f
Inverse link function
a_d
Shape1 for d prior
b_d
Shape2 for d prior
log
For log-scale values
method
"ARMS" or "metropolis"
Value
Likelihood value
DouglasMesquita/robit documentation built on May 28, 2022, 8:30 a.m.
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| d_fullcond | R Documentation |
d full conditional distribution
Description
d full conditional distribution
Usage
d_fullcond(y, X, p_beta, p_c, p_d, p_df, inv_link_f, a_d, b_d, log = TRUE, method = "ARMS")
Arguments
y |
Bernoulli observed values |
X |
Covariate matrix |
p_beta |
Regression coefficients |
p_c |
c parameter |
p_d |
d parameter |
p_df |
Degrees of freedom |
inv_link_f |
Inverse link function |
a_d |
Shape1 for d prior |
b_d |
Shape2 for d prior |
log |
For log-scale values |
method |
"ARMS" or "metropolis" |
Value
Likelihood value
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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