Re: [R] [ADMB Users] an alternative to R for nonlinear stat models

De: Chris Gast [mailto:cmg...@gmail.com] Enviado el: jueves, 17 de junio de 2010 22:32 Para: Rubén Roa CC: r-help@r-project.org; us...@admb-project.org Asunto: Re: [ADMB Users] an alternative to R for nonlinear stat models

Re: [R] [ADMB Users] an alternative to R for nonlinear stat models

De: users-boun...@admb-project.org [mailto:users-boun...@admb-project.org] En nombre de Chris Gast Enviado el: miércoles, 16 de junio de 2010 21:11 Para: Arni Magnusson CC: r-help@r-project.org; us...@admb-project.org Asunto: Re: [ADMB Users] an alternative to R

Re: [R] [ADMB Users] an alternative to R for nonlinear stat models

] an alternative to R for nonlinear stat models Hi Arni (and others), My dissertation work involves use (and extension) of models of the same ilk (sometimes exactly the same) as those described by Nancy Gove and John Skalski in their 2002 article. I began with R, and moved to my own home-brewed

Re: [R] [ADMB Users] an alternative to R for nonlinear stat models

: De: users-boun...@admb-project.org [mailto:users-boun...@admb-project.org] En nombre de Chris Gast Enviado el: miércoles, 16 de junio de 2010 21:11 Para: Arni Magnusson CC: r-help@r-project.org; us...@admb-project.org Asunto: Re: [ADMB Users] an alternative to R

Re: [R] [ADMB Users] an alternative to R for nonlinear stat models

Hi Arni (and others), My dissertation work involves use (and extension) of models of the same ilk (sometimes exactly the same) as those described by Nancy Gove and John Skalski in their 2002 article. I began with R, and moved to my own home-brewed C/C++ programs for the sake of of speed when