deletions | additions       diff --git a/C++ Functions.tex b/C++ Functions.tex  index 02a9948..4e2fc79 100644  --- a/C++ Functions.tex  +++ b/C++ Functions.tex 
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\subsection{Extra parameters in C++ implementations}  Much like in the R case, the passing of extra parameters with C++ implementations of the objective and gradient is achieved through the use of R environments. The following is an example replicating the Poisson regression using data from Golub et al. \cite{Golub_1999} with C++ function implementations. As before, we set up the objective and gradient as character strings. We include the extra environment argument and obtain data by evaluating it usign the \code{Rcpp::Environment} class: Rcpp::Environment class. In order to perfom matrix operations, we use the RcppArmadillo library \cite{Eddelbuettel_2014}:  \begin{lstlisting}  likelihood.include <- 'Rcpp::NumericVector lhood(SEXP xs, SEXP env){