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  "Description": "Provides an R interface to the 'sparseLM' C library for\nlarge-scale nonlinear least squares problems with arbitrarily\nsparse Jacobians. The underlying solver implements a sparse\nvariant of the Levenberg-Marquardt algorithm for minimizing\nsum-of-squares objective functions, supports user-supplied\nanalytic Jacobians or finite-difference approximation, and is\ndesigned to exploit sparsity for improved memory use and\nperformance. This package exposes the solver in R and uses\nsparse matrix classes and the 'CHOLMOD' sparse Cholesky\nfactorization routines through the 'Matrix' package interface.\nMethods from the C library are described in Lourakis (2010)\n<doi:10.1007/978-3-642-15552-9_4>.",
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