Auto-generate citations and references.

git-svn-id: https://svn.r-project.org/R/trunk@88706 00db46b3-68df-0310-9c12-caf00c1e9a41

Author: hornik

src/library/base/man/strptime.Rd

@@ -390,13 +390,11 @@ strptime(x, format, tz = "")
 }
 
 \references{
-  International Organization for Standardization (2004, 2000, \dots)
-  \sQuote{ISO 8601.  Data elements and interchange formats --
-    Information interchange -- Representation of dates and times.},
-  slightly updated to International Organization for Standardization (2019)
-  \sQuote{ISO 8601-1:2019.  Date and time -- Representations for
-    information interchange -- Part 1: Basic rules}, and further amended
-  in 2022.
+  \bibshow{R:International_Organization_for_Standardization:2000,
+    R:International_Organization_for_Standardization:2004,
+    R:International_Organization_for_Standardization:2019,
+    R:International_Organization_for_Standardization:2022}
+  
   For links to versions available on-line see (at the time of writing)
   \url{https://dotat.at/tmp/ISO_8601-2004_E.pdf} and
   \url{https://www.qsl.net/g1smd/isopdf.htm}; for information on the

src/library/stats/man/ar.ols.Rd

@@ -97,8 +97,8 @@ ar.ols(x, aic = TRUE, order.max = NULL, na.action = na.fail,
   \code{\link{ar}}
 }
 \references{
-  Luetkepohl, H. (1991): \emph{Introduction to Multiple Time Series
-    Analysis.} Springer Verlag, NY, pp.\sspace{}368--370.
+  \bibinfo{R:Luetkepohl:1991}{note}{Pages 368--370}
+  \bibshow{R:Luetkepohl:1991}
 }
 \examples{
 ar(lh, method = "burg")

src/library/stats/man/cmdscale.Rd

@@ -54,7 +54,8 @@ cmdscale(d, k = 2, eig = FALSE, add = FALSE, x.ret = FALSE,
   c*} are Euclidean and hence can be represented in \code{n - 1}
   dimensions.  Whereas S (Becker \abbr{et al.}, 1988) computes this
   constant using an approximation suggested by \I{Torgerson}, \R uses the
-  analytical solution of \bibcitet{R:Cailliez:1983}, see also Cox and Cox (2001).
+  analytical solution of \bibcitet{R:Cailliez:1983}, see also
+  \bibcitet{R:Cox+Cox:2001}.
   Note that because of numerical errors the computed eigenvalues need
   not all be non-negative, and even theoretically the representation
   could be in fewer than \code{n - 1} dimensions.

src/library/stats/man/hclust.Rd

@@ -118,7 +118,7 @@ hclust(d, method = "complete", members = NULL)
   \code{"centroid"} are \emph{not} leading to a \emph{monotone distance}
   measure, or equivalently the resulting dendrograms can have so called
   \emph{inversions} or \emph{reversals} which are hard to interpret,
-  but note the trichotomies in Legendre and Legendre (2012).
+  but note the trichotomies in \bibcitet{R:Legendre+Legendre:2012}.
 
   Two different algorithms are found in the literature for Ward
   clustering.  The one used by option \code{"ward.D"} (equivalent to the