Package: NSTempRFA 0.2.0.9000

Gabriel Constantino Blain

NSTempRFA: Adapts the Regional Frequency Analysis to Air Temperature

Adapts the index-flood technique to extreme air temperature data. The package uses the additive approach proposed in Martins et al. (2022) <doi:10.1590/1678-4499.20220061> and adapt it to climate change conditions through the use of nonstationary parametric distributions.

Authors:Gabriel Constantino Blain [aut, cre], Graciela R. Sobierajski [aut], Leticia L. Martins [aut], Adam H. Sparks [aut]

NSTempRFA_0.2.0.9000.tar.gz
NSTempRFA_0.2.0.9000.zip(r-4.7-any)NSTempRFA_0.2.0.9000.zip(r-4.6-any)NSTempRFA_0.2.0.9000.zip(r-4.5-any)
NSTempRFA_0.2.0.9000.tgz(r-4.6-any)NSTempRFA_0.2.0.9000.tgz(r-4.5-any)
NSTempRFA_0.2.0.9000.tar.gz(r-4.7-any)NSTempRFA_0.2.0.9000.tar.gz(r-4.6-any)
NSTempRFA_0.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
NSTempRFA/json (API)

# Install 'NSTempRFA' in R:

install.packages('NSTempRFA', repos = c('https://gabrielblain.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gabrielblain/nstemprfa/issues

Datasets:

lonlat_Tmax - Geographical coordinates of the 'TmaxCPC_SP' series
TmaxCPC_SP - Extreme air temperature data

On CRAN:

4.60 score 7 scripts 200 downloads 10 exports 37 dependencies

Last updated from:a260173e3e. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	254
source / vignettes	OK	280
linux-release	OK	233
macos-release	OK	218
macos-oldrel	OK	238
windows-devel	OK	306
windows-release	OK	288
windows-oldrel	OK	318
wasm-release	OK	111

Exports:Add_Discord Add_Heterogeneity Add_RegProb Add_RegQuant Best_model Dataset_add Fit_model Reg_par Reg_parCI Site_parCI

Dependencies:askpass assertthat cli crayon curl DEoptimR distillery extRemes glue httr ismev jsonlite lattice lifecycle lmom Lmoments lmomRFA magrittr MASS Matrix mgcv mime mvtnorm nlme openssl pcaPP R6 Rcpp RcppArmadillo rlang robustbase rrcov spsUtil stringi stringr sys vctrs

CaseStudy

Rendered fromCaseStudy.Rmdusingknitr::rmarkdown

Last update: 2026-09-30
Started: 2025-08-18

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Discordance measures calculated from the additive approach	Add_Discord
Add_Heterogeneity	Add_Heterogeneity
Add_RegProb	Add_RegProb
Regional Quantile Estimation for a Site Using Time-Varying GEV Parameters	Add_RegQuant
Time-varying parameters of the best fitted GEV model	Best_model
dataset_add	Dataset_add
Time-varying parameters of a given GEV model	Fit_model
Geographical coordinates of the 'TmaxCPC_SP' series	lonlat_Tmax
Estimate the parameters of the regional distribution	Reg_par
Confidence intervals for regional GEV parameters	Reg_parCI
Confidence intervals for site-specific GEV parameters	Site_parCI
Extreme air temperature data	TmaxCPC_SP