Package: BlanketStatsments 0.1.3

Dr J. Peter Amin Marquardt

BlanketStatsments: Build and Compare Statistical Models

Build and compare nested statistical models with sets of equal and different independent variables. An analysis using this package is Marquardt et al. (2021) <https://github.com/p-mq/Percentile_based_averaging>.

Authors:Dr J. Peter Amin Marquardt [aut, cre]

BlanketStatsments_0.1.3.tar.gz
BlanketStatsments_0.1.3.zip(r-4.7)BlanketStatsments_0.1.3.zip(r-4.6)BlanketStatsments_0.1.3.zip(r-4.5)
BlanketStatsments_0.1.3.tgz(r-4.6-any)BlanketStatsments_0.1.3.tgz(r-4.5-any)
BlanketStatsments_0.1.3.tar.gz(r-4.7-any)BlanketStatsments_0.1.3.tar.gz(r-4.6-any)
BlanketStatsments_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BlanketStatsments/json (API)

# Install 'BlanketStatsments' in R:

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

Bug tracker:https://github.com/p-mq/blanketstatsments/issues

On CRAN:

2.70 score 1 stars 2 scripts 528 downloads 11 exports 134 dependencies

Last updated from:03c397df08. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	187
source / vignettes	OK	217
linux-release-x86_64	OK	209
macos-release-arm64	OK	210
macos-oldrel-arm64	OK	179
windows-devel	OK	154
windows-release	OK	130
windows-oldrel	OK	129
wasm-release	OK	137

Exports:blanket_c_statistic blanket_redundancy_analysis blanket_stats blanket_statsments build_cox_model build_reg_model calculate_Uno_c redundancy_analysis table_blanket_redundancies table_blanket_statsments table_predictors

Dependencies:askpass assertthat backports base64enc basecamb bit bit64 boot broom bslib cachem cellranger checkmate class cli clipr cluster codetools colorspace cpp11 crayon curl data.table DescTools digest dplyr e1071 evaluate Exact expm farver fastmap fontawesome forcats foreach foreign Formula fs generics ggplot2 gld glmnet glue gridExtra gtable haven highr Hmisc hms htmlTable htmltools htmlwidgets httr isoband iterators jomo jquerylib jsonlite knitr labeling lattice lifecycle lme4 lmom magrittr MASS Matrix MatrixModels memoise mice mime minqa mitml multcomp mvtnorm nlme nloptr nnet numDeriv openssl ordinal pan pillar pkgconfig polspline prettyunits progress proxy purrr quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppEigen Rdpack readr readxl reformulas rematch rlang rmarkdown rms rootSolve rpart rstudioapi S7 sae sandwich sass scales shape SparseM stringi stringr survAUC survival sys TH.data tibble tidyr tidyselect tinytex tzdb ucminf utf8 vctrs viridisLite vroom withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Build formula for statistical models	.build_model_formula
Generic wrapper method to calculate C-statistics	blanket_c_statistic
Blanket redundancy analysis	blanket_redundancy_analysis
Run multiple slightly different models of same type	blanket_stats
Run multiple different models with different sets of predictors	blanket_statsments
Build a cox model	build_cox_model
Build a generic regression model model	build_reg_model
Calculate Uno's C for a given model.	calculate_Uno_c
Redundancy analysis	redundancy_analysis
Table results of blanket redundancy analysis	table_blanket_redundancies
Table results of multiple different models with different sets of predictors	table_blanket_statsments
Table model predictor performance	table_predictors