Minor edit in README.md

Author: sn248

DESCRIPTION

@@ -1,15 +1,14 @@
 Package: ceres
 Type: Package
-Title: What the Package Does in One 'Title Case' Line
-Version: 1.0
-Date: 2020-07-01
-Author: Your Name
-Maintainer: SN <[email protected]>
-Description: One paragraph description of what the package does as one
+Title: An Interface to 'Ceres Solver' Linear Optimization
+Version: 0.1.0
+Date: 2022-07-13
+Author: Satyaprakash Nayak
+Maintainer: Satyaprakas Nayak <[email protected]>
+Description: Provides a way to interface with the Ceres Solver (http://ceres-solver.org/index.html) library. Ceres Solver is a C++ library open source C++ library for modeling and solving large, complicated optimization problems. It can be used to solve Non-linear Least Squares problems with bounds constraints and general unconstrained optimization problems. It is a mature, feature rich, and performant library that has been used in production at Google since 2010. This package provides a way to interface with optimization routines in Ceres via R.
         or more full sentences.
 License: GPL (>= 2)
 SystemRequirements: cmake (>= 3.2.0) which is used only on Linux or macOS 
-    systems when no system build of ceres can be found.
 Biarch: true
 Encoding: UTF-8
 Imports: 

R/RcppExports.R

@@ -5,19 +5,3 @@ ceres_helloworld <- function(x) {
     .Call(`_ceres_ceres_helloworld`, x)
 }
 
-rcppeigen_hello_world <- function() {
-    .Call(`_ceres_rcppeigen_hello_world`)
-}
-
-rcppeigen_outerproduct <- function(x) {
-    .Call(`_ceres_rcppeigen_outerproduct`, x)
-}
-
-rcppeigen_innerproduct <- function(x) {
-    .Call(`_ceres_rcppeigen_innerproduct`, x)
-}
-
-rcppeigen_bothproducts <- function(x) {
-    .Call(`_ceres_rcppeigen_bothproducts`, x)
-}
-

README.md

@@ -48,7 +48,7 @@ struct CostFunctor {
 
 // [[Rcpp::export]]
 int ceres_helloworld(double x){
-	// int main(int argc, char** argv) {
+
 	//google::InitGoogleLogging(argv[0]);
 
 	// The variable to solve for with its initial value. It will be
@@ -77,7 +77,7 @@ int ceres_helloworld(double x){
 }
 
 ```
-**NOTE** - Compilation of this code will give a list of `Eigen` related warnings in `R`, so they can be neglected.
+**NOTE** - Compilation of this code will give a list of `Eigen` related warnings in `R`, which can be neglected for now.
 
 Finally, the `ceres_helloworld` function can be called in `R` using a numeric argument, e.g.,
 ```

cleanup

@@ -1,4 +1,5 @@
 #! /bin/sh
 
-rm -fr src/*.o src/*.so autom4te.cache config.log config.status inst/*.a
-rm -f configure~
+rm -fr src/*.o src/*.so autom4te.cache config.log config.status
+rm -f configure~
+rm -f Makevars

configure

@@ -2054,7 +2054,7 @@ if test -z "${CXX}"; then
 fi
 CXXFLAGS=`"${R_HOME}/bin/R" CMD config CXXFLAGS`
 CPPFLAGS=`"${R_HOME}/bin/R" CMD config CPPFLAGS`
-CXX11FLAGS=`"${R_HOME}/bin/R" CMD config CXX11FLAGS`
+CXX17FLAGS=`"${R_HOME}/bin/R" CMD config CXX17FLAGS`
 ac_ext=cpp
 ac_cpp='$CXXCPP $CPPFLAGS'
 ac_compile='$CXX -c $CXXFLAGS $CPPFLAGS conftest.$ac_ext >&5'