Analyses experimental data from liquid-liquid phase diagrams and
provide a simple way to obtain its parameters and a simplified report. Designed
initially to analyse Aqueous Two-Phases Systems, the package will include (every
other update) new functions in order to comprise useful tools in liquid-liquid
analysis.
R (>= 2.10), rootSolve, XLConnect, digest, svDialogs, ggtern

Diego F Coelho <diegofcoelho@gmail.com> [aut, cre], Pedro Vitor Oliveira Menezes <pedrod841@hotmail.com> [dtc], Carla Corina dos Santos Porto <carlacorina@hotmail.com.br> [dtc], Jon George Huddleston <Jonathan.Huddleston@brunel.ac.uk> [rev], Elias Basile Tambourgi <eliastam@feq.unicamp.br> [rev]
Analyses experimental data from liquid-liquid phase diagrams and
provide a simple way to obtain its parameters, producing a simplified report. Designed
initially to analyse Aqueous Two-Phases Systems, the package will include (every
other update) new functions in order to comprise useful tools in liquid-liquid
analysis.
rootSolve, XLConnect, digest, svDialogs, minpack.lm, ggplot2,
svglite, dplyr, nleqslv

Data Analysis of Liquid-Liquid Systems using R
Originally design to characterise Aqueous Two Phase Systems, LLSR provide a simple way to analyse experimental data and obtain phase diagram parameters, among other properties, systematically. The package will include (every other update) new functions in order to comprise useful tools in liquid-liquid extraction research.
rootSolve, XLConnect, digest, svDialogs, minpack.lm, ggplot2,
svglite, dplyr, nleqslv, crayon

rootSolve, XLConnect, digest, svDialogs, minpack.lm, ggplot2,
svglite, dplyr

Diego F Coelho <diegofcoelho@gmail.com> [aut, cre], Pedro V O Menezes <pedrod841@hotmail.com> [dtc], Carla Corina <carlacorina@hotmail.com.br> [dtc], Jon G Huddleston <Jonathan.Huddleston@brunel.ac.uk> [rev]

rootSolve, openxlsx, digest, svDialogs, minpack.lm, ggplot2,
svglite, dplyr, nleqslv, crayon

Decomposes a set of variables into cliques and separators.
Decomposes a set of variables into cliques and separators
depending on their association which is measured using Random
Forests.