Package: MAIC 0.3.0

Iain Bennett

MAIC: Package to Perform Matched-adjusted Indirect Comparisons

A group of functions designed to perform matched-adjusted indirect comparisons as per NICE TSD 18 and summarise the results for survival data (using hazard ratios) and binary data (using odds ratios.)

Authors:Iain Bennett [cre], Jo Gregory [aut], Sarah Smith [aut], Richard Birnie [aut], F. Hoffmann La Roche Ltd [cph]

MAIC_0.3.0.tar.gz
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MAIC.pdf |MAIC.html✨
MAIC/json (API)

# Install 'MAIC' in R:

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

Bug tracker:https://github.com/roche/maic/issues

Datasets:

est_weights - Est_weights
target_pop_standard - Target_pop_standard

On CRAN:

evidence-synthesis health-economic-evaluation hta

8 exports 2 stars 0.61 score 33 dependencies 40 scripts

Last updated 12 months agofrom:92b1aa5dc1. Checks:ERROR: 7. Indexed: no.

Target	Result	Date
Doc / Vignettes	FAIL	Aug 17 2024
R-4.5-win	ERROR	Aug 17 2024
R-4.5-linux	ERROR	Aug 17 2024
R-4.4-win	ERROR	Aug 17 2024
R-4.4-mac	ERROR	Aug 17 2024
R-4.3-win	ERROR	Aug 17 2024
R-4.3-mac	ERROR	Aug 17 2024

Exports:bootstrap_HR bootstrap_OR estimate_ess estimate_weights hist_wts profile_wts summarize_wts wt_diagnostics

Dependencies:assertthat cli colorspace dplyr fansi farver generics ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig R6 RColorBrewer rlang scales survival tibble tidyselect utf8 vctrs viridisLite withr

Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bootstrapping for MAIC weighted hazard ratios	bootstrap_HR
Bootstrapping for MAIC weighted odds ratios	bootstrap_OR
est_weights	est_weights
Estimate effective sample size	estimate_ess
Estimate MAIC propensity weights	estimate_weights
Produce histograms of weights and rescaled weights	hist_wts
MAIC: A package for performing matched-adjusted indirect comparisons	MAIC
Produce a data frame of the weights assigned to patient profiles	profile_wts
Summarize the weight values	summarize_wts
target_pop_standard	target_pop_standard
Weight diagnostics	wt_diagnostics