nlmixr 2.0 in on CRAN

> On April 22, 2021 4:56 AM Wang, Wenping < > > [email protected] > > > wrote: > > In August 2018, the nlmixr team announced the first baby step by nlmixr – the release of nlmixr 1.0. Today, we proudly announce the arrival of nlmixr’s adulthood: nlmixr 2.0 is here. It has taken a bit longer than we’d like to see nlmixr getting through its adolescence, but that day has arrived! Lots of hard work has gone into the new version over the past 2.5 years, and we think the pharmacometrics community will be very happy to see all the new functionality & features in nlmixr 2.0. > > A few highlights include: > > • Automatic covariate search with covarSearchAuto > > • Boostrapping with bootstrapFit > > • Time-varying covariates in SAEM > > • Parallel SAEM > > nlmixr 2.0 no longer needs Python for its symbolic algebra computations (e.g., calculating derivatives for FOCEi types of algorithms). This change not only makes nlmixr faster, it also leaves a smoother user experience and simplifies installation and maintenance. > > For the geekier modelers among you, you’ll find a few more advanced tricks have been baked in: > > • ETA support on dose-based parameters like lag time and infusion duration for FOCEi > > • Support of lag/diff and NONMEM-style NEWIND flag > > • More logical _expression_ support including ifelse() and logical expressions (for example, KA = (FED==1)*KA1 + (FED != 1)*KA2) > > • Mean model support (i.e. no ETAs) for FOCEi > > • More types of residual model support in both SAEM and FOCEi > > • Censoring support using CENS and LIMIT columns > > As always, the nlmixr team are grateful for the heart-warming support we’ve received from our users. You are our strength and inspiration. Our goal here is to make nlmixr a PKPD modeling tool that is truly of the modelers, by the modelers and for the modelers. > > We hope you’ll enjoy this youthful, vibrant yet mature nlmixr. Please continue to send us your ideas, suggestions and bug reports via our GitHub page. > > Wenping Wang > > On behalf of the nlmixr team

On Thu, Apr 22, 2021 at 10:51 AM Niurys.CS <[email protected]> wrote: > Dear Wenping and nlmixr team, > > Thanks for sharing with us your work!!! > > Hugs, > Niurys > -- ***************************************************** web: https://www.linkedin.com/in/malidi-ahamadi-40834b11 "*Darkness cannot drive out darkness; only light can do that. * *Hate cannot drive out hate; only love can do that*." Martin Luther King Jr ***************************************************

From: [email protected] <[email protected]> On Behalf Of Sam Liao Sent: Thursday, April 22, 2021 11:11 AM To: Wang, Wenping <[email protected]>; [email protected] Subject: Re: [NMusers] nlmixr 2.0 in on CRAN Dear Wenping, Congratulation. Thanks for the hard work. Best regards, Sam On April 22, 2021 4:56 AM Wang, Wenping < [email protected]<mailto:[email protected]>> wrote: In August 2018, the nlmixr team announced the first baby step by nlmixr – the release of nlmixr 1.0. Today, we proudly announce the arrival of nlmixr’s adulthood: nlmixr 2.0 is here. It has taken a bit longer than we’d like to see nlmixr getting through its adolescence, but that day has arrived! Lots of hard work has gone into the new version over the past 2.5 years, and we think the pharmacometrics community will be very happy to see all the new functionality & features in nlmixr 2.0. A few highlights include: • Automatic covariate search with covarSearchAuto • Boostrapping with bootstrapFit • Time-varying covariates in SAEM • Parallel SAEM nlmixr 2.0 no longer needs Python for its symbolic algebra computations (e.g., calculating derivatives for FOCEi types of algorithms). This change not only makes nlmixr faster, it also leaves a smoother user experience and simplifies installation and maintenance. For the geekier modelers among you, you’ll find a few more advanced tricks have been baked in: • ETA support on dose-based parameters like lag time and infusion duration for FOCEi • Support of lag/diff and NONMEM-style NEWIND flag • More logical expression support including ifelse() and logical expressions (for example, KA = (FED==1)*KA1 + (FED != 1)*KA2) • Mean model support (i.e. no ETAs) for FOCEi • More types of residual model support in both SAEM and FOCEi • Censoring support using CENS and LIMIT columns As always, the nlmixr team are grateful for the heart-warming support we’ve received from our users. You are our strength and inspiration. Our goal here is to make nlmixr a PKPD modeling tool that is truly of the modelers, by the modelers and for the modelers. We hope you’ll enjoy this youthful, vibrant yet mature nlmixr. Please continue to send us your ideas, suggestions and bug reports via our GitHub page. Wenping Wang On behalf of the nlmixr team P Please consider the environment before printing this email Confidentiality notice and disclaimer: The information in this message and any attachments is intended for the exclusive use of the addressee(s), is confidential and may be privileged or otherwise protected from disclosure. Any review, retransmission, dissemination or other use of, or taking of any action in reliance upon, of any such information by persons or entities other than the intended addressee(s) is prohibited. If you have received this message in error and are not the intended addressee, please notify the sender immediately and delete this message and any attachments from your system without reading or disclosing them. If you are not the intended addressee, be advised that any use of the information in this message and any attachment is prohibited and may be unlawful, and you must not copy this message or attachment or disclose the contents to any other person.