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70 results for “nlmixr2”
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Hi everyone! This is the official home of #nlmixr2 on Mastodon. We are a constellation of #rstats packages aimed at supporting easy and robust nonlinear mixed-effects models in R. We are free and #OpenSource and will be forever.
Stay tuned for announcements of blog postings, chat, trivia, and whatever you all want to talk about!
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Modeling tools in our area are largely closed-source and massively expensive, and are a gigantic entry barrier for new people, especially in low and middle-income countries (and borderline unaffordable even for CROs like mine). #nlmixr2 is intended to be a solution to this problem. I also maintain the #pmxTools package, which provides a handy set of general #PMx functions.
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Modeling tools in our area are largely closed-source and massively expensive, and are a gigantic entry barrier for new people, especially in low and middle-income countries (and borderline unaffordable even for CROs like mine). #nlmixr2 is intended to be a solution to this problem. I also maintain the #pmxTools package, which provides a handy set of general #PMx functions.
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Modeling tools in our area are largely closed-source and massively expensive, and are a gigantic entry barrier for new people, especially in low and middle-income countries (and borderline unaffordable even for CROs like mine). #nlmixr2 is intended to be a solution to this problem. I also maintain the #pmxTools package, which provides a handy set of general #PMx functions.
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Modeling tools in our area are largely closed-source and massively expensive, and are a gigantic entry barrier for new people, especially in low and middle-income countries (and borderline unaffordable even for CROs like mine). #nlmixr2 is intended to be a solution to this problem. I also maintain the #pmxTools package, which provides a handy set of general #PMx functions.
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I'm on fosstodon.org because I do a lot of #rstats development, most notably as a member of the #nlmixr2 development team. nlmixr2 is a set of packages - let's call it the #mixrverse - for R that provides an #OpenSource alternative for nonlinear mixed-effects (#NLME) model development, which are the core of most #Pharmacometrics workflows (amongst others).
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I'm on fosstodon.org because I do a lot of #rstats development, most notably as a member of the #nlmixr2 development team. nlmixr2 is a set of packages - let's call it the #mixrverse - for R that provides an #OpenSource alternative for nonlinear mixed-effects (#NLME) model development, which are the core of most #Pharmacometrics workflows (amongst others).
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I'm on fosstodon.org because I do a lot of #rstats development, most notably as a member of the #nlmixr2 development team. nlmixr2 is a set of packages - let's call it the #mixrverse - for R that provides an #OpenSource alternative for nonlinear mixed-effects (#NLME) model development, which are the core of most #Pharmacometrics workflows (amongst others).
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I'm on fosstodon.org because I do a lot of #rstats development, most notably as a member of the #nlmixr2 development team. nlmixr2 is a set of packages - let's call it the #mixrverse - for R that provides an #OpenSource alternative for nonlinear mixed-effects (#NLME) model development, which are the core of most #Pharmacometrics workflows (amongst others).
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New from the R Consortium nlmixr2 Working Group:
The nlmixr2 Working Group is expanding what open-source R tooling can support in pharmacometrics, including time-to-event modeling workflows that are important in clinical and drug-development settings.
This new post highlights technical work from Justin Wilkins and the nlmixr2 Development Team on fitting parametric time-to-event models in nlmixr2.
Read more:
https://r-consortium.org/posts/survival-analysis-with-nlmixr2/#RStats #Pharmacometrics #PKPD #ClinicalResearch #OpenSource