[r-cran-mnp] 38/51: Import Upstream version 2.5-5
Andreas Tille
tille at debian.org
Fri Sep 8 14:14:48 UTC 2017
This is an automated email from the git hooks/post-receive script.
tille pushed a commit to branch master
in repository r-cran-mnp.
commit 1bdc123583577bd7d03cf427226ba6062ada55ff
Author: Andreas Tille <tille at debian.org>
Date: Fri Sep 8 15:54:58 2017 +0200
Import Upstream version 2.5-5
---
DESCRIPTION | 6 +++---
R/predict.mnp.R | 1 +
man/predict.mnp.Rd | 19 +++++++++++--------
3 files changed, 15 insertions(+), 11 deletions(-)
diff --git a/DESCRIPTION b/DESCRIPTION
index 075496d..93691f7 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
Package: MNP
-Version: 2.5-4
-Date: 2007-05-24
+Version: 2.5-5
+Date: 2007-08-01
Title: R Package for Fitting the Multinomial Probit Model
Author: Kosuke Imai <kimai at princeton.edu>,
David A. van Dyk <dvd at uci.edu>.
@@ -27,4 +27,4 @@ LazyLoad: yes
LazyData: yes
License: GPL (version 2 or later)
URL: http://imai.princeton.edu/research/MNP.html
-Packaged: Thu May 24 12:08:24 2007; kimai
+Packaged: Wed Aug 1 20:15:11 2007; kimai
diff --git a/R/predict.mnp.R b/R/predict.mnp.R
index 224f97a..ed3b7c6 100644
--- a/R/predict.mnp.R
+++ b/R/predict.mnp.R
@@ -78,6 +78,7 @@ predict.mnp <- function(object, newdata = NULL, newdraw = NULL, n.draws = 1,
else
ans$p <- NULL
+ ans$x <- x
class(ans) <- "predict.mnp"
return(ans)
}
diff --git a/man/predict.mnp.Rd b/man/predict.mnp.Rd
index 3d7c627..2185c41 100644
--- a/man/predict.mnp.Rd
+++ b/man/predict.mnp.Rd
@@ -76,10 +76,10 @@
following elements:
\item{o}{A three dimensional array of the Monte Carlo sample from the
posterior predictive distribution of the ordered preferences. The
- first dimension corresponds to the alternatives in the choice set,
- the second dimension corresponds to the rows of \code{newdata} (or
- the original data set if \code{newdata} is left unspecified),
- and the third dimension indexes the Monte Carlo sample. If
+ first dimension corresponds to the rows of \code{newdata} (or
+ the original data set if \code{newdata} is left unspecified),
+ the second dimension corresponds to the alternatives in the choice
+ set, and the third dimension indexes the Monte Carlo sample. If
\code{n.draws} is greater than 1, then each entry will be an average
over these additional draws.
}
@@ -87,10 +87,11 @@
probabilities for each alternative in the choice set being most
preferred. The first demension corresponds to the rows of
\code{newdata} (or the original data set if \code{newdata} is left
- unspecified), and the second dimension corresponds
- to the alternatives in the choice set. If \code{n.draws} is greater
- than 1, then the third diemsion exists and indexes the Monte Carlo
- sample.
+ unspecified), the second dimension corresponds
+ to the alternatives in the choice set, and the third dimension (if
+ it exists) indexes the Monte Carlo sample. If \code{n.draws} is
+ greater than 1, then the third diemsion exists and indexes the Monte
+ Carlo sample.
}
\item{y}{A matrix of the Monte Carlo sample from the
posterior predictive distribution of the most preferred choice. The
@@ -99,6 +100,8 @@
second dimension indexes the Monte Carlo sample. \code{n.draws} will
be set to 1 when computing this quantity of interest.
}
+ \item{x}{A matrix of covariates used for prediction
+ }
}
\seealso{\code{mnp}; MNP home page at
--
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