<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>smith-group.r-universe.dev</title><link>https://smith-group.r-universe.dev</link><description>Recent package updates in smith-group</description><generator>R-universe</generator><image><url>https://github.com/smith-group.png</url><title>R packages by smith-group</title><link>https://smith-group.r-universe.dev</link></image><lastBuildDate>Wed, 13 May 2026 15:17:15 GMT</lastBuildDate><item><title>[smith-group] fitnmr 1.1</title><author>colin.smith@wesleyan.edu (Colin Smith)</author><description>Tools for fitting and analyzing 1D-4D nuclear magnetic
resonance spectra with analytical models of peak shapes and
peak groups. The package reads spectra in 'NMRPipe' format,
builds constrained parameter structures for chemical shifts,
line widths, scalar couplings, volumes, and phases, and
performs nonlinear least-squares optimization for iterative
peak discovery or simultaneous fits across multiple spectra. It
also provides methods for visualization, preprocessing, and
kinetic analysis of 1D time-series data, including automated
phase optimization, solvent suppression, time-domain correction
for frequency shifts and line broadening, modeling spectra as
linear combinations of two component spectra, and exponential
rate fitting.</description><link>https://github.com/r-universe/smith-group/actions/runs/27398656359</link><pubDate>Wed, 13 May 2026 15:17:15 GMT</pubDate><r:package>fitnmr</r:package><r:version>1.1</r:version><r:status>success</r:status><r:repository>https://smith-group.r-universe.dev</r:repository><r:upstream>https://github.com/smith-group/fitnmr</r:upstream><r:article><r:source>timeseries1d.Rmd</r:source><r:filename>timeseries1d.html</r:filename><r:title>1D Time Series Preprocessing/Two-State Fitting</r:title><r:created>2025-11-11 00:46:21</r:created><r:modified>2026-03-20 15:54:47</r:modified></r:article><r:article><r:source>peak2d.Rmd</r:source><r:filename>peak2d.html</r:filename><r:title>Automated 2D Peak Fitting Code</r:title><r:created>2020-01-11 16:14:39</r:created><r:modified>2026-03-20 15:54:47</r:modified></r:article><r:article><r:source>peak2d_scripts.Rmd</r:source><r:filename>peak2d_scripts.html</r:filename><r:title>Automated 2D Peak Fitting Scripts</r:title><r:created>2020-03-18 18:50:01</r:created><r:modified>2026-03-20 15:54:47</r:modified></r:article></item><item><title>[smith-group] sparseLM 0.5</title><author>colin.smith@wesleyan.edu (Colin Smith)</author><description>Provides an R interface to the 'sparseLM' C library for
large-scale nonlinear least squares problems with arbitrarily
sparse Jacobians. The underlying solver implements a sparse
variant of the Levenberg-Marquardt algorithm for minimizing
sum-of-squares objective functions, supports user-supplied
analytic Jacobians or finite-difference approximation, and is
designed to exploit sparsity for improved memory use and
performance. This package exposes the solver in R and uses
sparse matrix classes and the 'CHOLMOD' sparse Cholesky
factorization routines through the 'Matrix' package interface.
Methods from the C library are described in Lourakis (2010)
&lt;doi:10.1007/978-3-642-15552-9_4&gt;.</description><link>https://github.com/r-universe/smith-group/actions/runs/26629016171</link><pubDate>Mon, 30 Mar 2026 13:41:29 GMT</pubDate><r:package>sparseLM</r:package><r:version>0.5</r:version><r:status>success</r:status><r:repository>https://smith-group.r-universe.dev</r:repository><r:upstream>https://github.com/smith-group/sparseLM</r:upstream></item><item><title>[smith-group] deeppicker 0.5</title><author>colin.smith@wesleyan.edu (Colin Smith)</author><description>Provides an R interface to the DEEP Picker neural-network
peak-picking tools for one- and two-dimensional NMR spectra.
The package wraps the peak-picking engines, returning peak
positions, intensities, line-shape parameters, and confidence
scores. It also includes readers for supported spectrum
formats, including NMRPipe, Sparky, TopSpin ASCII, JSON, CSV,
and ldw files, so spectra can be imported and processed
directly.</description><link>https://github.com/r-universe/smith-group/actions/runs/27399276602</link><pubDate>Fri, 13 Mar 2026 18:50:54 GMT</pubDate><r:package>deeppicker</r:package><r:version>0.5</r:version><r:status>success</r:status><r:repository>https://smith-group.r-universe.dev</r:repository><r:upstream>https://github.com/smith-group/deeppicker</r:upstream></item></channel></rss>