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Package: RFQT 0.1.0

Haodong Tian

RFQT: Random Forest of Q Trees

Data-adaptive method for effect heterogeneity analysis or non-linear causal studies in Mendelian randomization and instrumental variables analysis.

Authors:Haodong Tian

RFQT_0.1.0.tar.gz
RFQT_0.1.0.zip(r-4.5)RFQT_0.1.0.zip(r-4.4)RFQT_0.1.0.zip(r-4.3)
RFQT_0.1.0.tgz(r-4.5-any)RFQT_0.1.0.tgz(r-4.4-any)RFQT_0.1.0.tgz(r-4.3-any)
RFQT_0.1.0.tar.gz(r-4.5-noble)RFQT_0.1.0.tar.gz(r-4.4-noble)
RFQT_0.1.0.tgz(r-4.4-emscripten)RFQT_0.1.0.tgz(r-4.3-emscripten)
RFQT.pdf |RFQT.html✨
RFQT/json (API)

# Install 'RFQT' in R:

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

Bug tracker:https://github.com/hdtian/rfqt/issues

On CRAN:

2.00 score 1 scripts 11 exports 132 dependencies

Last updated 6 days agofrom:300915a28c. Checks:1 OK, 8 NOTE. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 16 2025
R-4.5-win	NOTE	Mar 16 2025
R-4.5-mac	NOTE	Mar 16 2025
R-4.5-linux	NOTE	Mar 16 2025
R-4.4-win	NOTE	Mar 16 2025
R-4.4-mac	NOTE	Mar 16 2025
R-4.4-linux	NOTE	Mar 16 2025
R-4.3-win	NOTE	Mar 16 2025
R-4.3-mac	NOTE	Mar 16 2025

Exports:BootstrapTreeFitting DTfit getDat GetIndex getMSE GetNindex getPars getPredict GetTree getVI RFQTfit

Dependencies:arrangements askpass backports base64enc bit bit64 blob broom bslib cachem callr cellranger cli clipr codetools colorspace conflicted cpp11 crayon crosstalk curl data.table DBI dbplyr DEoptimR digest dplyr dtplyr evaluate fansi farver fastmap fontawesome forcats foreach fs gargle generics ggplot2 glmnet glue gmp googledrive googlesheets4 gtable haven highr hms htmltools htmlwidgets httr ids isoband iterators iterpc jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle lubridate magrittr MASS Matrix MatrixModels memoise MendelianRandomization mgcv mime modelr munsell nlme numDeriv openssl pillar pkgconfig plotly prettyunits processx progress promises ps purrr quantreg R6 ragg rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen readr readxl rematch rematch2 reprex rjson rlang rmarkdown robustbase rstudioapi rvest sass scales selectr shape SparseM stringi stringr survival sys systemfonts textshaping tibble tidyr tidyselect tidyverse timechange tinytex tzdb utf8 uuid vctrs viridisLite vroom withr xfun xml2 yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
One Bootstrap Q Tree Fitting	BootstrapTreeFitting
Fit a Classical Single Decision Tree (DT)	DTfit
Creat a Simulated Data	getDat
Get the Best Covariate Index	GetIndex
Get MSE Values for the OOB Data or the Testing Data with Fitted Q-Tree or Random Forest of Q-Trees (RFQT)	getMSE
Get the Q Tree End Node Index for Choosen Samples	GetNindex
Get the present parameters information	getPars
Get predict effects for the OOB Data or the Testing Data with Fitted Random Forest of Q-Trees (RFQT)	getPredict
Fit and Get a Q Tree	GetTree
Get Varibale Importance Measurements with Fitted Q-Tree or Random Forest of Q-Trees (RFQT)	getVI
Fit a Random Forest of Q Trees (RFQT)	RFQTfit