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

Package: imt 1.0.0

Ignacio Martinez

imt: Impact Measurement Toolkit

A toolkit for causal inference in experimental and observational studies. Implements various simple Bayesian models including linear, negative binomial, and logistic regression for impact estimation. Provides functionality for randomization and checking baseline equivalence in experimental designs. The package aims to simplify the process of impact measurement for researchers and analysts across different fields. Examples and detailed usage instructions are available at <https://book.martinez.fyi>.

Authors:Ignacio Martinez [aut, cre]

imt_1.0.0.tar.gz
imt_1.0.0.zip(r-4.7-x86_64)imt_1.0.0.zip(r-4.7-arm64)imt_1.0.0.zip(r-4.6-x86_64)imt_1.0.0.zip(r-4.6-arm64)
imt_1.0.0.tar.gz(r-4.7-arm64)imt_1.0.0.tar.gz(r-4.7-x86_64)imt_1.0.0.tar.gz(r-4.6-arm64)imt_1.0.0.tar.gz(r-4.6-x86_64)
imt_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
imt/json (API)

# Install 'imt' in R:

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

Bug tracker:https://github.com/google/imt/issues

Uses libs:

onetbb– Parallelism library for C++
c++– GNU Standard C++ Library v3

On CRAN:

onetbb cpp

1.85 score 14 scripts 224 downloads 18 exports 122 dependencies

Last updated from:81360659ef. Checks:10 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	375
linux-devel-x86_64	OK	423
source / vignettes	OK	356
linux-release-arm64	OK	365
linux-release-x86_64	OK	452
windows-devel-arm64	OK	496
windows-devel-x86_64	OK	646
windows-release-arm64	OK	495
windows-release-x86_64	OK	609
wasm-release	OK	233

Exports:%>%balancePlot blm calculateEffectSizes checkBaseline cleanData countMissing createData credibleInterval fit getStanParameter hedgesG logit mcmcChecks metaAnalysis negativeBinomial randomize randomizer

Dependencies:abind backports base64enc bayesplot BH bslib cachem callr caret checkmate class cli clock codetools cpp11 data.table desc diagram digest distributional dplyr e1071 evaluate farver fastmap fontawesome foreach fs future future.apply generics ggdist ggplot2 ggridges globals glue gower gridExtra gtable hardhat highr htmltools htmlwidgets inline ipred isoband iterators jquerylib jsonlite KernSmooth knitr labeling lattice lava lifecycle listenv loo lubridate magrittr MASS Matrix matrixStats memoise mime ModelMetrics nlme nnet numDeriv otel parallelly pillar pkgbuild pkgconfig plyr posterior pROC processx prodlim progressr proxy ps purrr quadprog QuickJSR R6 rappdirs RColorBrewer Rcpp RcppEigen RcppParallel recipes reshape2 rlang rmarkdown rpart rstan rstantools S7 sass scales shape sparsevctrs SQUAREM StanHeaders stringi stringr survival tensorA tibble tidyr tidyselect timechange timeDate tinytex tzdb utf8 vctrs viridisLite vizdraws withr xfun yaml

Help page	Topics
Combine and Unite Columns	.combineColumns
Add a Random Treatment Indicator Column to a Data Frame	.randomize_internal
Create a Baseline Balance Plot.	balancePlot
Bayesian Linear Model Factory	blm
Calculate Probability of Posterior Draws Falling Within a Range	calcProb
Calculate Effect Sizes for Treatment vs. Control	calculateEffectSizes
Check Baseline Equivalency.	checkBaseline
Cleans and prepares data for analysis	cleanData
Count missing values (NA) in a dataframe	countMissing
Cox's Proportional Hazards Index (Cox's C)	coxsIndex
Converts a dataframe into a named list to provide data to a Stan model	createData
Calculate credible interval from MCMC draws	credibleInterval
Fits Stan model.	fit
Extracts parameter from Stan model.	getStanParameter
Hedges' g Effect Size with Pooled Standard Deviation	hedgesG
Bayesian Logit Model Factory	logit
Calculate logit link and sample from binomial distribution	logitRng
MCMC Checks	mcmcChecks
Create a Meta-Analysis Object Using Data From Previous Studies	metaAnalysis
Bayesian Negative Binomial Model Factory	negativeBinomial
Calculate Point Estimate (Median or Mean) as Percentage	pointEstimate
Randomly Assign Treatment While Controlling for Baseline Equivalency	randomize
Randomization Class for Treatment Assignment	randomizer
Validate a Logical Subgroup Vector	validate_logical_vector

Package: imt 1.0.0

imt: Impact Measurement Toolkit

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)