Measurements often represent a superposition of the contributions of distinct sub-systems resolved with respect to many experimental variables (time, temperature, wavelength, pH, polarization, etc).  TIMP allows parametric models for such superpositions to be fit and validated.  The package has been extensively applied to modeling data arising in spectroscopy experiments.

R (>= 2.6.0), methods, tcltk, vcd, fields, gplots, splines, gclus
Measurements often represent a superposition of the contributions of distinct sub-systems resolved with respect to many experimental variables (time, temperature, wavelength, pH, polarization, etc).  TIMP allows parametric models for such superpositions to be fit and validated.  The package has been extensively applied to modeling data arising in spectroscopy and FLIM-FRET experiments.

a problem solving environment for fitting separable nonlinear models in physics and chemistry applications
R (>= 2.6.0), methods, tcltk, vcd, fields, gplots, splines, gclus, nnls, quadprog, minpack.lm
TIMP is a problem solving environment for fitting separable nonlinear models to measurements arising in physics and chemistry experiments, and has been extensively applied to time-resolved spectroscopy and FLIM-FRET data.

R (>= 2.7.0), methods, tcltk, vcd, fields, gplots, splines, gclus, nnls (>= 1.1), quadprog, minpack.lm

Katharine M. Mullen, Sergey Laptenok, Ivo H. M. van Stokkum
R (>= 2.7.0), methods, tcltk, vcd, fields (>= 4.1), gplots, splines, gclus, nnls (>= 1.1), minpack.lm (>= 1.1-1)

Katharine M. Mullen, Sergey Laptenok, David Nicolaides, Ivo H. M. van Stokkum
R (>= 2.7.0), methods, tcltk, vcd, fields (>= 4.1), gplots, splines, gclus, nnls (>= 1.1), odesolve, minpack.lm (>= 1.1-1)

c(person("Matthew E.", "Baker", email = "mbaker@umbc.edu", role = c("aut", "cph")),
person("Ryan S.", "King",email = "Ryan_S_King@baylor.edu", role = c("aut", "cph")),
person("David", "Kahle", email = "david.kahle@gmail.com", role = c("aut", "cph", "cre")))
Uses indicator species scores across binary partitions of
a sample set to detect congruence in taxon-specific changes of abundance
and occurrence frequency along an environmental gradient as evidence of
an ecological community threshold.  Relevant references include: Baker,
ME and RS King. 2010. A new method for detecting and interpreting
biodiversity and ecological community thresholds.  Methods in Ecology and
Evolution 1(1): 25:37. King, RS and ME Baker. 2010. Considerations for
identifying and interpreting ecological community thresholds.  Journal
of the North American Benthological Association 29(3):998-1008. Baker ME
and RS King. 2013. Of TITAN and straw men: an appeal for greater
understanding of community data. Freshwater Science 32(2):489-506.
Matthew E. Baker [aut, cph],
Ryan S. King [aut, cph],
David Kahle [aut, cph, cre]