R-universe search: arrhenius

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pecanproject

PEcAn.utils:PEcAn Functions Used for Ecological Forecasts and Reanalysis

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PEcAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation.

Maintained by Rob Kooper. Last updated 2 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants

4.5 match 216 stars 10.92 score 218 scripts 35 dependents

accelstab

AccelStab:Accelerated Stability Kinetic Modelling

Estimate the Šesták–Berggren kinetic model (degradation model) from experimental data. A A closed-form (analytic) solution to the degradation model is implemented as a non-linear fit, allowing for the extrapolation of the degradation of a drug product - both in time and temperature. Parametric bootstrap, with kinetic parameters drawn from the multivariate t-distribution, and analytical formulae (the delta method) are available options to calculate the confidence and prediction intervals. The results (modelling, extrapolations and statistical intervals) can be visualised with multiple plots. The examples illustrate the accelerated stability modelling in drugs and vaccines development.

Maintained by Ben Wells. Last updated 5 months ago.

arrhenius kinetics modelling non-linear-model pharmaceuticals pharmacokinetics sestak-berggren stability statistics temperature temperature-excursion vaccine

11.0 match 1 stars 3.48 score 2 scripts

juergenknauer

bigleaf:Physical and Physiological Ecosystem Properties from Eddy Covariance Data

Calculation of physical (e.g. aerodynamic conductance, surface temperature), and physiological (e.g. canopy conductance, water-use efficiency) ecosystem properties from eddy covariance data and accompanying meteorological measurements. Calculations assume the land surface to behave like a 'big-leaf' and return bulk ecosystem/canopy variables.

Maintained by Juergen Knauer. Last updated 8 months ago.

3.8 match 7.23 score 124 scripts 17 dependents

albgarre

bioinactivation:Mathematical Modelling of (Dynamic) Microbial Inactivation

Functions for modelling microbial inactivation under isothermal or dynamic conditions. The calculations are based on several mathematical models broadly used by the scientific community and industry. Functions enable to make predictions for cases where the kinetic parameters are known. It also implements functions for parameter estimation for isothermal and dynamic conditions. The model fitting capabilities include an Adaptive Monte Carlo method for a Bayesian approach to parameter estimation.

Maintained by Alberto Garre. Last updated 2 years ago.

food food-safety inactivation-models isothermal-experiments prediction

5.2 match 3.95 score 18 scripts

pecanproject

PEcAn.DB:PEcAn Functions Used for Ecological Forecasts and Reanalysis

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PECAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation.

Maintained by David LeBauer. Last updated 2 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants

1.7 match 216 stars 11.88 score 127 scripts 27 dependents

r-lum

Luminescence:Comprehensive Luminescence Dating Data Analysis

A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.

Maintained by Sebastian Kreutzer. Last updated 1 days ago.

bayesian-statistics data-science geochronology luminescence luminescence-dating open-science osl plotting radiofluorescence tl xsyg cpp

1.8 match 15 stars 10.77 score 178 scripts 8 dependents

padpadpadpad

rTPC:Fitting and Analysing Thermal Performance Curves

Helps to fit thermal performance curves (TPCs). 'rTPC' contains 26 model formulations previously used to fit TPCs and has helper functions to set sensible start parameters, upper and lower parameter limits and estimate parameters useful in downstream analyses, such as cardinal temperatures, maximum rate and optimum temperature. See Padfield et al. (2021) <doi:10.1111/2041-210X.13585>.

Maintained by Daniel Padfield. Last updated 24 days ago.

1.7 match 25 stars 9.07 score 267 scripts

crlsierra

SoilR:Models of Soil Organic Matter Decomposition

Functions for modeling Soil Organic Matter decomposition in terrestrial ecosystems with linear and nonlinear systems of differential equations. The package implements models according to the compartmental system representation described in Sierra and others (2012) <doi:10.5194/gmd-5-1045-2012> and Sierra and others (2014) <doi:10.5194/gmd-7-1919-2014>.

Maintained by Carlos A. Sierra. Last updated 1 years ago.

4.0 match 5 stars 2.88 score 153 scripts

geco-bern

rpmodel:P-Model

Implements the P-model (Stocker et al., 2020 <doi:10.5194/gmd-13-1545-2020>), predicting acclimated parameters of the enzyme kinetics of C3 photosynthesis, assimilation, and dark respiration rates as a function of the environment (temperature, CO2, vapour pressure deficit, light, atmospheric pressure).

Maintained by Benjamin Stocker. Last updated 9 months ago.

1.8 match 31 stars 6.32 score 34 scripts

1802515849

TTS:Master Curve Estimates Corresponding to Time-Temperature Superposition

Time-Temperature Superposition analysis is often applied to frequency modulated data obtained by Dynamic Mechanic Analysis (DMA) and Rheometry in the analytical chemistry and physics areas. These techniques provide estimates of material mechanical properties (such as moduli) at different temperatures in a wider range of time. This package provides the Time-Temperature superposition Master Curve at a referred temperature by the three methods: the two wider used methods, Arrhenius based methods and WLF, and the newer methodology based on derivatives procedure. The Master Curve is smoothed by B-splines basis. The package output is composed of plots of experimental data, horizontal and vertical shifts, TTS data, and TTS data fitted using B-splines with bootstrap confidence intervals.

Maintained by Antonio Meneses. Last updated 2 years ago.

0.5 match 2.00 score 11 scripts