Package: drcte 1.0.62

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>.

Authors:Andrea Onofri [aut, cre]

drcte_1.0.62.tar.gz
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drcte.pdf |drcte.html
drcte/json (API)
NEWS

# Install 'drcte' in R:
install.packages('drcte', repos = c('https://onofriandreapg.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/onofriandreapg/drcte/issues

Datasets:
  • lotus - Germination assay with Lotus ornithopodioides
  • lotusCum - Germination assay with Lotus ornithopodioides
  • lotusOr - Germination assay with Lotus ornithopodioides
  • verbascum - Germination time-course for three species of the Verbascum genus

On CRAN:

Conda:

non-linear-regressionseed-germinationtime-to-event

4.07 score 2 packages 39 scripts 367 downloads 18 exports 76 dependencies

Last updated 4 hours agofrom:d08ecabfa8. Checks:1 OK, 8 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winERRORMar 24 2025
R-4.5-macERRORMar 24 2025
R-4.5-linuxERRORMar 24 2025
R-4.4-winERRORMar 24 2025
R-4.4-macERRORMar 24 2025
R-4.4-linuxERRORMar 24 2025
R-4.3-winERRORMar 24 2025
R-4.3-macERRORMar 24 2025

Exports:compCDFcompParmtedecumulate_tedrmtedrmteControlexponentialexponentialSurvgroup_teKDEKDE.funloglogisticloglogisticSurvlognormallognormal.2melt_teNPMLEplotDataungroup_te

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11DerivdoBydplyrdrcfansifarverFormulagenericsggplot2gluegtablegtoolsisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmclustmgcvmicrobenchmarkminqamodelrmultcompmunsellmvtnormnlmenloptrnnetnor1mixnumDerivpbkrtestpillarpkgconfigplotrixplyrpurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangsandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselectutf8vctrsviridisLitewithrzoo