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bayesmrhierMnlRwMixture - fixed indexing in warning re
large/small values of beta_pooled.clusterMix_rccp_looprordprobitGibbs fixed setting of epsilon in subroutine
lldstarrhierMnlRwMixture updates were left out of v3.1.-2
by mistake. Added. Also, changed to Nelder-Mead method for finding
pooled constrained optimum (used for Metropolis tuning only). Added
warning regarding large values of constrained pooled coefficients.
(coefficients larger than 10 in absolute value – exp(10) is too large
and exp(-10) is too small)
plot.bayesm.hcoef method changed to improve
labelling of plots.
rhierMnlRwMixture error in Hessian computation for
Metropolis tuning corrected. Default initial parameter values used for
tuning optimization also changed.
all plot.bayesm.<> and
summary.bayesm.<> methods have added checks to insure
that burnin is set no larger than number of submitted
draws.
rbrobitGibbs error in trunNorm_vec
corrected
plot.bayesm.hcoef (method for plotting hierarchical
model coefficients) bug in boxplots corrected (median added)
ghkvec documentation improved wrt to
above parameter
rhierMnlRwMixture now accepts sign constraints on
beta_i parameters
rivDP error (\(w\)
variables) corrected. Error was introduced in v3.0-0
llmnp error (involving ghk_vec.C) corrected. Error
was introduced in v3.0-0
camera dataset added
rnegbinRw and rhierNegbinRw now accept
Mcmc$alpha initial value
rhier* functions now check input types
(e.g. rhierMnlRwMixture’s input lgtdata[[1]]$X
must be a matrix)
rmnpGibbs, rmvpGibbs, and
rbprobitGibbs have an updated utility routine that improves
accuracy of draws from a truncated normal distribution when the
truncation points are extreme. rordprobitGibbs and
rtrun will be similarly updated in a future version of
bayesm.
rhierBinLogit has been deprecated; please use
rhierMnlRwMixture instead
“bayesm Overview” vignette added
“Constrained Multinomial Logit” vignette added
Numerous edits to .Rd help files
Utility function fsh no longer exported
Rcpp and RcppArmadilloThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.