diff --git a/DESCRIPTION b/DESCRIPTION
index 719117e..ea58aa7 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,14 +1,15 @@
 Package: ODEsensitivity
-Version: 1.1.0
+Version: 1.1.1
 Title: Sensitivity Analysis of Ordinary Differential Equations
 Description: Performs sensitivity analysis in ordinary differential equation (ode) models.
     The package utilize the ode interface from 'deSolve' and connects it with the 
     sensitivity analysis from 'sensitivity'. Additionally we add a method to
     run the sensitivity analysis on variables with class 'ODEnetwork'. A detailed
     plotting function provides outputs on the calculations.
+    The method is described by Weber, Theers, Surmann, Ligges, and Weihs (2018) <doi:10.17877/DE290R-18874>.
 Authors@R: c(
-    person("Stefan", "Theers", email = "stefan.theers@tu-dortmund.de", role = "aut"),
     person("Frank", "Weber", email = "frank.weber@tu-dortmund.de", role = "aut"),
+    person("Stefan", "Theers", email = "stefan.theers@tu-dortmund.de", role = "aut"),
     person("Dirk", "Surmann", email = "surmann@statistik.tu-dortmund.de", role = c("ctb", "cre")
            , comment = c(ORCID = "0000-0003-0873-137X"))
     )
diff --git a/NEWS.md b/NEWS.md
index 6afbfe9..2fa8dcb 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,6 @@
+# ODEsensitivity 1.1.1
+* add reference to TechReport
+
 # ODEsensitivity 1.1.0
 * add vignette
 * release to CRAN
diff --git a/man/ODEmorris.default.Rd b/man/ODEmorris.default.Rd
index 2cc85ed..12f476b 100644
--- a/man/ODEmorris.default.Rd
+++ b/man/ODEmorris.default.Rd
@@ -69,7 +69,7 @@ number of processor cores to be used for parallelization. Only applies if
 \value{
 List of class \code{ODEmorris} of length \code{length(state_init)} 
   containing in each element a matrix for one state variable. The
-  matrices itself contain the Morris screening results for all timepoints 
+  matrices themselves contain the Morris screening results for all timepoints 
   (rows: \code{mu, mu.star} and \code{sigma} for every parameter; columns: 
   timepoints).
 }
@@ -84,7 +84,7 @@ Function \code{\link[deSolve]{ode}} from \code{\link[deSolve]{deSolve}} is
   
   The sensitivity analysis is done for all state variables and all
   timepoints simultaneously using \code{\link[sensitivity]{morris}} from the 
-  package \code{sensitivity}.
+  package \code{\link[sensitivity]{sensitivity}}.
   
   For non-ODE models, values for \code{r} are typically between 10 and 50.
   However, much higher values are recommended for ODE models (the default is
diff --git a/man/ODEsobol.default.Rd b/man/ODEsobol.default.Rd
index e93d0c0..a611fc5 100644
--- a/man/ODEsobol.default.Rd
+++ b/man/ODEsobol.default.Rd
@@ -85,10 +85,11 @@ Function \code{\link[deSolve]{ode}} from \code{\link[deSolve]{deSolve}} is
   
   The sensitivity analysis is done for all state variables and all
   timepoints simultaneously. If \code{sobol_method = "Jansen"},
-  \code{\link[sensitivity]{soboljansen}} from the package \code{sensitivity}
+  \code{\link[sensitivity]{soboljansen}} from the package 
+  \code{\link[sensitivity]{sensitivity}}
   is used to estimate the Sobol' sensitivity indices and if 
   \code{sobol_method = "Martinez"}, \code{\link[sensitivity]{sobolmartinez}}
-  is used (also from the package \code{sensitivity}).
+  is used (also from the package \code{\link[sensitivity]{sensitivity}}).
 }
 \note{
 If the evaluation of the model function takes too long, it might be 
diff --git a/man/tdcc.Rd b/man/tdcc.Rd
index 509cfc7..7e727db 100644
--- a/man/tdcc.Rd
+++ b/man/tdcc.Rd
@@ -9,41 +9,45 @@ tdcc(ranks, pearson = FALSE, plot = FALSE)
 \arguments{
 \item{ranks}{[\code{matrix(nrow = b, ncol = k)}]\cr
 \code{(bxk)}-matrix of the ranks of the \code{k}
-variables for each of the \code{b} SAs, ties are neglected,
+variables for each of the \code{b} sensitivity analyses, ties are neglected,
 must be integers.}
 
 \item{pearson}{[\code{logical(1)}]\cr
-logical, should the ordinary Pearson coefficient with
-Savage scores be computed (\code{b = 2})?}
+Should the ordinary Pearson coefficient with
+Savage scores be computed (\code{b = 2})? Default is \code{FALSE}.}
 
 \item{plot}{[\code{logical(1)}]\cr
-logical, scatter plots showing rankings and Savage scores
-(\code{b = 2})?}
+Should scatter plots showing rankings and Savage scores be created
+(\code{b = 2})? Default is \code{FALSE}.}
 }
 \value{
 A named vector with components:
 \itemize{
-  \item{\bold{kendall}}: Coefficient of concordance.
-  \item{\bold{pearson}}: Pearson Coefficient (only if \code{pearson = TRUE}).
+  \item{\code{kendall}}: Coefficient of concordance.
+  \item{\code{pearson}}: Pearson coefficient (only if \code{pearson = TRUE}).
 }
 }
 \description{
-The Top-Down Correlation Coefficient TDCC compares \code{b} rankings
-using Savage Scores.
+With the use of Savage scores, the Top-Down Correlation Coefficient TDCC 
+compares \code{b} rankings.
 }
 \details{
 NOTE: As the implementation of the coefficient of concordance is still defective,
 please use the Pearson coefficient!
 }
 \examples{
-ranking <- rbind(1:20,
-                 c(1,3,2,4,16,10,19,12,18,17,
-                   20,5,14,7,8,11,6,15,9,13))
+# b=2 sensitivity analysis techniques A and B that rate the influence of 
+# k=20 variables/ input parameters (example taken from Iman and Conover, 1987):
+ranking <- rbind(A = 1:20,
+                 B = c(1,3,2,4,16,10,19,12,18,17,
+                       20,5,14,7,8,11,6,15,9,13))
 tdcc(ranking, pearson = TRUE, plot = TRUE)
 
 }
 \references{
-Iman and Conover (1987): A Measure of Top-Down Correlation
+R. L. Iman and W. J. Conover, 
+  \emph{A Measure of Top-Down Correlation}, 
+  Technometrics, Vol. 29, No. 3 (Aug., 1987), pp. 351--357.
 }
 \author{
 Stefan Theers