Releases: xsswang/remiod
Releases · xsswang/remiod
remiod version 1.0.1
New features
Ordinal Probit Model
: new model option underalgorithm='jags'
. The option
can be requested with argumentmodels = 'opm'
(or named vectors, for example,
models = c(y1='opm',y2='opm')
).algorithm='tang_seq'
: computation is speed up.get_subset
: function is exported for extracting specified set of parameters
from MCMC samples. The extracted samples have a class of 'mcmc', and can be
directly used by functions/packages which take a 'mcmc' object.
Minor improvements and bug fixes
- Bug fix: when using a J2R imputation of continuous outcome through GLM
withfamily = gaussian()
using JAGS.
remiod version 1.0.0
v1.0.0 CRAN release