imputeGauss: Imputation of rejected samples
In pasudyan/ConstrMixMod: MCMC methods for flexible mixture modeling on constrained spaces
Description
Usage
Arguments
Value
Description
This function samples the rejected proposals for the Mixture of Truncated Gaussians (MoTG) model
Usage
1
imputeGauss(mu, cv, N, constr, thr, ceilRej)
Arguments
mu
mean parameters
cv
covariance matrix
N
total number of observations
constr
function for the constraint of the space
thr
maximum number of rejections per observation
ceilRej
max number of observations in total
Value
rejected samples and indices to which observation it belongs to
pasudyan/ConstrMixMod documentation built on May 10, 2019, 8:26 a.m.
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Description Usage Arguments Value
Description
This function samples the rejected proposals for the Mixture of Truncated Gaussians (MoTG) model
Usage
1 | imputeGauss(mu, cv, N, constr, thr, ceilRej)
|
Arguments
mu |
mean parameters |
cv |
covariance matrix |
N |
total number of observations |
constr |
function for the constraint of the space |
thr |
maximum number of rejections per observation |
ceilRej |
max number of observations in total |
Value
rejected samples and indices to which observation it belongs to
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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