[Mboost-commits] r738 - pkg/mboostDevel/man

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Thu Sep 12 16:57:20 CEST 2013 

Author: hofner
Date: 2013-09-12 16:57:20 +0200 (Thu, 12 Sep 2013)
New Revision: 738

Modified:
   pkg/mboostDevel/man/Family.Rd
   pkg/mboostDevel/man/bodyfat.Rd
   pkg/mboostDevel/man/gamboost.Rd
   pkg/mboostDevel/man/glmboost.Rd
   pkg/mboostDevel/man/mboost.Rd
   pkg/mboostDevel/man/mboost_package.Rd
Log:
updated reverence to mboost tutorial


Modified: pkg/mboostDevel/man/Family.Rd
===================================================================
--- pkg/mboostDevel/man/Family.Rd	2013-09-12 14:49:04 UTC (rev 737)
+++ pkg/mboostDevel/man/Family.Rd	2013-09-12 14:57:20 UTC (rev 738)
@@ -184,14 +184,14 @@
   models can be boosted using these families. For details see Schmid and
   Hothorn (2008) and Schmid et al. (2010).
 
-  \code{Gehan()} implements rank-based estimation of survival data in an  
+  \code{Gehan()} implements rank-based estimation of survival data in an
   accelerated failure time model. The loss function is defined as the sum
   of the pairwise absolute differences of residuals. The response needs to
   be defined as \code{Surv(y, delta)}, where \code{y} is the observed survial
   time (subject to censoring) and \code{delta} is the non-censoring indicator
   (see \code{\link{Surv}} for details). For details on \code{Gehan()} see
-  Johnson and Long (2011). 
-  
+  Johnson and Long (2011).
+
   Hurdle models for zero-inflated count data can be fitted by using a combination
   of the \code{Binomial()} and \code{Hurdle()} families. While the \code{Binomial()}
   family allows for fitting the zero-generating process of the Hurdle model,
@@ -252,14 +252,14 @@
     regression models with multidimensional prediction functions.
     \emph{Statistics and Computing}, \bold{20}, 139-150.
 
-  Benjamin Hofner, Andreas Mayr, Nikolay Robinzonov and Matthias Schmid
-  (2012). Model-based Boosting in R: A Hands-on Tutorial Using the R
-  Package mboost. \emph{Department of Statistics, Technical Report No. 120}.\cr
-  \url{http://epub.ub.uni-muenchen.de/12754/}
+    Benjamin Hofner, Andreas Mayr, Nikolay Robinzonov and Matthias Schmid
+    (2012). Model-based Boosting in R: A Hands-on Tutorial Using the R
+    Package mboost. \emph{Computational Statistics}.\cr
+    \url{http://dx.doi.org/10.1007/s00180-012-0382-5}
 
-  Available as vignette via: vignette(package = "mboostDevel", "mboost_tutorial")
+    Available as vignette via: vignette(package = "mboostDevel", "mboost_tutorial")
 
-    Brent A. Johnson and Qi Long (2011) Survival ensembles by the sum of pairwise 
+    Brent A. Johnson and Qi Long (2011) Survival ensembles by the sum of pairwise
     differences with application to lung cancer microarray studies.
     \emph{Annals of Applied Statistics}, \bold{5}, 1081--1101.
 
@@ -291,7 +291,7 @@
     \dontrun{
     ### compare results with nnet::multinom
     mlmn <- multinom(Species ~ Sepal.Length, data = iris)
-    max(abs(fitted(mlm[1000], type = "response") - 
+    max(abs(fitted(mlm[1000], type = "response") -
             fitted(mlmn, type = "prob")))
     }
 

Modified: pkg/mboostDevel/man/bodyfat.Rd
===================================================================
--- pkg/mboostDevel/man/bodyfat.Rd	2013-09-12 14:49:04 UTC (rev 737)
+++ pkg/mboostDevel/man/bodyfat.Rd	2013-09-12 14:57:20 UTC (rev 738)
@@ -54,12 +54,12 @@
     Boosting algorithms: regularization, prediction and model fitting.
     \emph{Statistical Science}, \bold{22}(4), 477--505.
 
-  Benjamin Hofner, Andreas Mayr, Nikolay Robinzonov and Matthias Schmid
-  (2012). Model-based Boosting in R: A Hands-on Tutorial Using the R
-  Package mboost. \emph{Department of Statistics, Technical Report No. 120}.\cr
-  \url{http://epub.ub.uni-muenchen.de/12754/}
+    Benjamin Hofner, Andreas Mayr, Nikolay Robinzonov and Matthias Schmid
+    (2012). Model-based Boosting in R: A Hands-on Tutorial Using the R
+    Package mboost. \emph{Computational Statistics}.\cr
+    \url{http://dx.doi.org/10.1007/s00180-012-0382-5}
 
-  Available as vignette via: vignette(package = "mboostDevel", "mboost_tutorial")
+    Available as vignette via: vignette(package = "mboostDevel", "mboost_tutorial")
 }
 \examples{
 

Modified: pkg/mboostDevel/man/gamboost.Rd
===================================================================
--- pkg/mboostDevel/man/gamboost.Rd	2013-09-12 14:49:04 UTC (rev 737)
+++ pkg/mboostDevel/man/gamboost.Rd	2013-09-12 14:57:20 UTC (rev 738)
@@ -75,8 +75,8 @@
 
   Benjamin Hofner, Andreas Mayr, Nikolay Robinzonov and Matthias Schmid
   (2012). Model-based Boosting in R: A Hands-on Tutorial Using the R
-  Package mboost. \emph{Department of Statistics, Technical Report No. 120}.\cr
-  \url{http://epub.ub.uni-muenchen.de/12754/}
+  Package mboost. \emph{Computational Statistics}.\cr
+  \url{http://dx.doi.org/10.1007/s00180-012-0382-5}
 
   Available as vignette via: vignette(package = "mboostDevel", "mboost_tutorial")
 }

Modified: pkg/mboostDevel/man/glmboost.Rd
===================================================================
--- pkg/mboostDevel/man/glmboost.Rd	2013-09-12 14:49:04 UTC (rev 737)
+++ pkg/mboostDevel/man/glmboost.Rd	2013-09-12 14:57:20 UTC (rev 738)
@@ -79,8 +79,8 @@
 
   Benjamin Hofner, Andreas Mayr, Nikolay Robinzonov and Matthias Schmid
   (2012). Model-based Boosting in R: A Hands-on Tutorial Using the R
-  Package mboost. \emph{Department of Statistics, Technical Report No. 120}.\cr
-  \url{http://epub.ub.uni-muenchen.de/12754/}
+  Package mboost. \emph{Computational Statistics}.\cr
+  \url{http://dx.doi.org/10.1007/s00180-012-0382-5}
 
   Available as vignette via: vignette(package = "mboostDevel", "mboost_tutorial")
 }
@@ -103,7 +103,7 @@
     signif(cf, 3)
     signif(coef(lm(dist ~ speed, data = cars)), 3)
     ## almost converged. With higher mstop the results get even better
- 
+
     ### now we center the design matrix for
     ### much quicker "convergence"
     cars.gb_centered <- glmboost(dist ~ speed, data = cars,

Modified: pkg/mboostDevel/man/mboost.Rd
===================================================================
--- pkg/mboostDevel/man/mboost.Rd	2013-09-12 14:49:04 UTC (rev 737)
+++ pkg/mboostDevel/man/mboost.Rd	2013-09-12 14:57:20 UTC (rev 738)
@@ -1,4 +1,4 @@
-\name{mboost}
+#\name{mboost}
 \alias{mboost}
 \alias{mboost_fit}
 \title{ Model-based Gradient Boosting }
@@ -106,8 +106,8 @@
 
   Benjamin Hofner, Andreas Mayr, Nikolay Robinzonov and Matthias Schmid
   (2012). Model-based Boosting in R: A Hands-on Tutorial Using the R
-  Package mboost. \emph{Department of Statistics, Technical Report No. 120}.\cr
-  \url{http://epub.ub.uni-muenchen.de/12754/}
+  Package mboost. \emph{Computational Statistics}.\cr
+  \url{http://dx.doi.org/10.1007/s00180-012-0382-5}
 
   Available as vignette via: vignette(package = "mboostDevel", "mboost_tutorial")
 

Modified: pkg/mboostDevel/man/mboost_package.Rd
===================================================================
--- pkg/mboostDevel/man/mboost_package.Rd	2013-09-12 14:49:04 UTC (rev 737)
+++ pkg/mboostDevel/man/mboost_package.Rd	2013-09-12 14:57:20 UTC (rev 738)
@@ -46,7 +46,7 @@
   determine an appropriate model complexity. This task is the responsibility
   of the data analyst.
 
-  Hofner et al. (2013) present a comprehensive hands-on tutorial for using the
+  Hofner et al. (2012) present a comprehensive hands-on tutorial for using the
   package \code{mbost}.
 
   Ben Taieba and Hyndman (2013) used this package for fitting their model in the
@@ -149,8 +149,8 @@
 
   Benjamin Hofner, Andreas Mayr, Nikolay Robinzonov and Matthias Schmid
   (2012). Model-based Boosting in R: A Hands-on Tutorial Using the R
-  Package mboost. \emph{Department of Statistics, Technical Report No. 120}.\cr
-  \url{http://epub.ub.uni-muenchen.de/12754/}
+  Package mboost. \emph{Computational Statistics}.\cr
+  \url{http://dx.doi.org/10.1007/s00180-012-0382-5}
 
   Available as vignette via: vignette(package = "mboostDevel", "mboost_tutorial")

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