This package is considered a duplicate. The official version of this package is found at:https://cran.r-universe.dev/rTLsDeep

Package: rTLsDeep 0.0.6

rTLsDeep: Post-Hurricane Damage Severity Classification from TLS and AI

Terrestrial laser scanning (TLS) data processing and post-hurricane damage severity classification at the individual tree level using deep Learning. Further details were published in Klauberg et al. (2023) <doi:10.3390/rs15041165>.

Authors:Carine Klauberg [aut], Ricardo Dalagnol [aut, cph], Matheus Ferreira [aut, ctb], Jason Vogel [aut, ctb], Caio Hamamura [aut, ctb, cre], Carlos Alberto Silva [aut, cph]

rTLsDeep_0.0.6.tar.gz
rTLsDeep_0.0.6.zip(r-4.7)rTLsDeep_0.0.6.zip(r-4.6)rTLsDeep_0.0.6.zip(r-4.5)
rTLsDeep_0.0.6.tgz(r-4.6-any)rTLsDeep_0.0.6.tgz(r-4.5-any)
rTLsDeep_0.0.6.tar.gz(r-4.7-any)rTLsDeep_0.0.6.tar.gz(r-4.6-any)
rTLsDeep_0.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rTLsDeep/json (API)
NEWS

# Install 'rTLsDeep' in R:

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

Bug tracker:https://github.com/carlos-alberto-silva/rtlsdeep/issues

On CRAN:

3.41 score 17 stars 1 scripts 184 downloads 10 exports 127 dependencies

Last updated from:afc7b67932. Checks:7 WARNING, 2 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	WARNING	276
source / vignettes	OK	283
linux-release-x86_64	WARNING	322
macos-release-arm64	WARNING	159
macos-oldrel-arm64	WARNING	142
windows-devel	WARNING	272
windows-release	WARNING	180
windows-oldrel	WARNING	253
wasm-release	OK	206

Exports:confmatrix_treedamage fit_dl_model gcmplot get_best_angle get_dl_model get_validation_classes getTLS2D predict_treedamage rtlsdeep_setup tlsrotate3d

Dependencies:abind backports base64enc BH bslib cachem caret class classInt cli clock codetools config cpp11 data.table DBI diagram digest dotty dplyr e1071 evaluate farver fastmap fontawesome foreach fs future future.apply generics ggplot2 globals glue gower gtable hardhat here highr htmltools htmlwidgets ipred isoband iterators jquerylib jsonlite keras3 KernSmooth knitr labeling lattice lava lazyeval lidR lifecycle listenv lubridate magrittr MASS Matrix matrixStats memoise mime ModelMetrics nlme nnet numDeriv parallelly pillar pkgconfig plyr png pROC processx prodlim progressr proxy ps purrr R6 rappdirs RColorBrewer Rcpp RcppArmadillo RcppTOML recipes reshape2 reticulate rgl rlang rlas rmarkdown rpart rprojroot rstudioapi s2 S7 sass scales sf shape sparsevctrs SQUAREM stars stringi stringr survival tensorflow terra tfautograph tfruns tibble tidyr tidyselect timechange timeDate tinytex tzdb units utf8 vctrs viridisLite whisker withr wk xfun yaml zeallot

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Confusion matrix	confmatrix_treedamage
Fitting deep learning models for post-hurricane individual tree level damage classification	fit_dl_model
Plot confusion matrix	gcmplot
Get best angle for plotting the tree	get_best_angle
Selecting deep learning modeling approaches	get_dl_model
Tree-level damage classes for validation datasets	get_validation_classes
Rotating calipers algorithm	getMinBBox
Grid snapshot	getTLS2D
Predict post-hurricane individual tree level damage	predict_treedamage
Setup python and tensorflow environment	rtlsdeep_setup
Rotate TLS-derived 3D Point Clouds	tlsrotate3d