6 files changed, 6 insertions, 6 deletions
diff --git a/R/add_err.R b/R/add_err.R
index 9235223f..d2092a84 100644
--- a/R/add_err.R
+++ b/R/add_err.R
@@ -25,7 +25,7 @@
 #' @references Ranke J and Lehmann R (2015) To t-test or not to t-test, that is
 #' the question. XV Symposium on Pesticide Chemistry 2-4 September 2015,
 #' Piacenza, Italy
-#' http://chem.uft.uni-bremen.de/ranke/posters/piacenza_2015.pdf
+#' https://jrwb.de/posters/piacenza_2015.pdf
 #' @examples
 #' 
 #' # The kinetic model
diff --git a/R/endpoints.R b/R/endpoints.R
index 586ef9ff..cccd2ff7 100644
--- a/R/endpoints.R
+++ b/R/endpoints.R
@@ -4,7 +4,7 @@
 #' This function calculates DT50 and DT90 values as well as formation fractions
 #' from kinetic models fitted with mkinfit. If the SFORB model was specified
 #' for one of the parents or metabolites, the Eigenvalues are returned. These
-#' are equivalent to the rate constantes of the DFOP model, but with the
+#' are equivalent to the rate constants of the DFOP model, but with the
 #' advantage that the SFORB model can also be used for metabolites.
 #'
 #' @param fit An object of class \code{\link{mkinfit}} or
diff --git a/R/mkinfit.R b/R/mkinfit.R
index c796f06f..0f478910 100644
--- a/R/mkinfit.R
+++ b/R/mkinfit.R
@@ -4,7 +4,7 @@ if(getRversion() >= '2.15.1') utils::globalVariables(c("name", "time", "value"))
 #'
 #' This function maximises the likelihood of the observed data using the Port
 #' algorithm \code{\link{nlminb}}, and the specified initial or fixed
-#' parameters and starting values.  In each step of the optimsation, the
+#' parameters and starting values.  In each step of the optimisation, the
 #' kinetic model is solved using the function \code{\link{mkinpredict}}. The
 #' parameters of the selected error model are fitted simultaneously with the
 #' degradation model parameters, as both of them are arguments of the
diff --git a/R/mkinpredict.R b/R/mkinpredict.R
index 90cd45fb..938d3488 100644
--- a/R/mkinpredict.R
+++ b/R/mkinpredict.R
@@ -11,7 +11,7 @@
 #' @param odeparms A numeric vector specifying the parameters used in the
 #'   kinetic model, which is generally defined as a set of ordinary
 #'   differential equations.
-#' @param odeini A numeric vectory containing the initial values of the state
+#' @param odeini A numeric vector containing the initial values of the state
 #'   variables of the model. Note that the state variables can differ from the
 #'   observed variables, for example in the case of the SFORB model.
 #' @param outtimes A numeric vector specifying the time points for which model
diff --git a/R/parent_solutions.R b/R/parent_solutions.R
index e02bcda7..04226b73 100644
--- a/R/parent_solutions.R
+++ b/R/parent_solutions.R
@@ -191,7 +191,7 @@ SFORB.solution = function(t, parent_0, k_12, k_21, k_1output) {
 #' @family parent solutions
 #' @inherit SFO.solution 
 #' @param kmax Maximum rate constant.
-#' @param k0 Minumum rate constant effective at time zero.
+#' @param k0 Minimum rate constant effective at time zero.
 #' @param r Growth rate of the increase in the rate constant.
 #' @note The solution of the logistic model reduces to the
 #'   \code{\link{SFO.solution}} if \code{k0} is equal to \code{kmax}.
diff --git a/R/transform_odeparms.R b/R/transform_odeparms.R
index 28e58f87..8f6eb57f 100644
--- a/R/transform_odeparms.R
+++ b/R/transform_odeparms.R
@@ -2,7 +2,7 @@
 #' 
 #' The transformations are intended to map parameters that should only take on
 #' restricted values to the full scale of real numbers. For kinetic rate
-#' constants and other paramters that can only take on positive values, a
+#' constants and other parameters that can only take on positive values, a
 #' simple log transformation is used. For compositional parameters, such as the
 #' formations fractions that should always sum up to 1 and can not be negative,
 #' the \code{\link{ilr}} transformation is used.