Package: agriME 0.1.0

Chiranjit Mazumder
agriME: Agricultural Marketing Efficiency and Price Spread Analysis
Provides reproducible tools for analysing agricultural marketing channels, price spread, the producer's share in the consumer price, intermediary costs and margins, and alternative indices of marketing efficiency. Implements conventional, Shepherd, and Acharya measures; validates stage-level channel accounts; compares and ranks channels; and supplies bootstrap confidence intervals, scenario sensitivity analysis, loss-adjusted margins, break-even calculations, and base-graphics methods. Methodological context is provided by Acharya and Agarwal (2021, ISBN:9789389688061) and Shepherd (2007) <https://www.fao.org/4/u8770e/u8770e00.htm>.
Authors:
agriME_0.1.0.tar.gz
agriME_0.1.0.zip(r-4.7-any)agriME_0.1.0.zip(r-4.6-any)
agriME_0.1.0.tar.gz(r-4.7-any)agriME_0.1.0.tar.gz(r-4.6-any)
agriME_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
agriME/json (API)
| # Install 'agriME' in R: |
| install.packages('agriME', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- market_observations - Repeated Illustrative Agricultural Market Observations
- tomato_channels - Illustrative Tomato Marketing Channels
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:15a92df906. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 98 | ||
| source / vignettes | OK | 126 | ||
| linux-release | OK | 83 | ||
| windows-devel | OK | 55 | ||
| windows-release | OK | 61 | ||
| wasm-release | OK | 69 |
Exports:analyse_channelanalyse_channelsas_market_channelbootstrap_marketing_metricsconsumer_rupeeefficiency_targetloss_adjusted_marginmarketing_efficiencymarketing_marginmarketing_metricsmarketing_sensitivityprice_spreadproducers_sharerank_channelstotal_gross_marketing_marginvalidate_market_channel
Dependencies: