Showing 4 of total 4 results (show query)
flavjack
GerminaR:Indices and Graphics for Assess Seed Germination Process
A collection of different indices and visualization techniques for evaluate the seed germination process in ecophysiological studies (Lozano-Isla et al. 2019) <doi:10.1111/1440-1703.1275>.
Maintained by Flavio Lozano-Isla. Last updated 2 days ago.
germianaquantinkaverseplant-scienceseed-germinationshinyapp
79.5 match 4 stars 6.29 score 81 scripts
aravind-j
germinationmetrics:Seed Germination Indices and Curve Fitting
Provides functions to compute various germination indices such as germinability, median germination time, mean germination time, mean germination rate, speed of germination, Timson's index, germination value, coefficient of uniformity of germination, uncertainty of germination process, synchrony of germination etc. from germination count data. Includes functions for fitting cumulative seed germination curves using four-parameter hill function and computation of associated parameters. See the vignette for more, including full list of citations for the methods implemented.
Maintained by J. Aravind. Last updated 5 months ago.
curve-fittinggerminationgermination-indicesseedseed-germination-curveseed-germination-indices
102.7 match 3 stars 4.38 score 26 scripts
onofriandreapg
drcSeedGerm:Utilities for Data Analyses in Seed Germination/Emergence Assays
Utility functions to be used to analyse datasets obtained from seed germination/emergence assays. Fits several types of seed germination/emergence models, including those reported in Onofri et al. (2018) "Hydrothermal-time-to-event models for seed germination", European Journal of Agronomy, 101, 129-139 <doi:10.1016/j.eja.2018.08.011>. Contains several datasets for practicing.
Maintained by Andrea Onofri. Last updated 2 months ago.
nonlinear-regressionseed-germination-assaystime-to-event
72.2 match 5 stars 3.97 score 37 scriptsonofriandreapg
drcte:Statistical Approaches for Time-to-Event Data in Agriculture
A specific and comprehensive framework for the analyses of time-to-event data in agriculture. Fit non-parametric and parametric time-to-event models. Compare time-to-event curves for different experimental groups. Plots and other displays. It is particularly tailored to the analyses of data from germination and emergence assays. The methods are described in Onofri et al. (2022) "A unified framework for the analysis of germination, emergence, and other time-to-event data in weed science", Weed Science, 70, 259-271 <doi:10.1017/wsc.2022.8>.
Maintained by Andrea Onofri. Last updated 1 years ago.
non-linear-regressionseed-germinationtime-to-event
35.6 match 4.07 score 39 scripts 2 dependents