Package: agriPAM 0.1.0

agriPAM: Agricultural Policy Analysis Matrix Toolkit

Builds and analyses Policy Analysis Matrices ('PAMs') for agricultural production systems. Computes private and social profitability, policy transfers, the domestic resource cost ratio, nominal protection coefficients for outputs and inputs, the effective protection coefficient, the private cost ratio, the profitability coefficient, subsidy ratios, and social cost-benefit ratios. Supports itemised farm budgets, parity prices, grouped analysis, deterministic sensitivity analysis, switching values, and correlated Monte Carlo simulation. Methods follow Monke and Pearson (1989, ISBN:0801419530) and the Food and Agriculture Organization of the United Nations (2007, ISBN:9789251057476).

Authors:Chiranjit Mazumder [aut, cre], Himadri Sekhar Roy [aut], Utkarsh Tiwari [aut], Pramit Pandit [aut], Bikramjeet Ghose [aut]

agriPAM_0.1.0.tar.gz
agriPAM_0.1.0.zip(r-4.7-any)agriPAM_0.1.0.zip(r-4.6-any)agriPAM_0.1.0.zip(r-4.5-any)
agriPAM_0.1.0.tgz(r-4.6-any)agriPAM_0.1.0.tgz(r-4.5-any)
agriPAM_0.1.0.tar.gz(r-4.7-any)agriPAM_0.1.0.tar.gz(r-4.6-any)
agriPAM_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
agriPAM/json (API)

# Install 'agriPAM' in R:
install.packages('agriPAM', repos = c('https://chiranjit4969.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.00 score 517 downloads 15 exports 0 dependencies

Last updated from:c1d865cf4b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK111
source / vignettesOK161
linux-releaseOK107
macos-releaseOK170
macos-oldrelOK151
windows-develOK82
windows-releaseOK81
windows-oldrelOK77
wasm-releaseOK72

Exports:agri_pam_exampleis_agri_pampampam_aggregatepam_classifypam_from_budgetpam_from_datapam_indicatorspam_matrixpam_monte_carlopam_sensitivitypam_transferspam_valuesparity_priceswitching_value

Dependencies:

Agricultural Policy Analysis with agriPAM
Purpose | The PAM accounting identities | Constructing a PAM directly | Starting with an itemised farm budget | Interpreting the indicators | Parity prices | Aggregating production systems | Reporting checklist
Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2026-09-10
Started: 2026-09-10

Sensitivity, Switching Values, and Monte Carlo PAM Analysis
Why uncertainty matters | Deterministic sensitivity paths | Switching values | Monte Carlo analysis | Correlated shocks | Reproducibility and reporting
Rendered fromuncertainty.Rmdusingknitr::rmarkdown

Last update: 2026-09-10
Started: 2026-09-10

Readme and manuals

Help Manual

Help pageTopics
agriPAM: Agricultural Policy Analysis Matrix ToolkitagriPAM-package agriPAM
Illustrative Agricultural PAM Dataagri_pam_example
Test for an agriPAM Objectis_agri_pam
Construct a Policy Analysis Matrixpam pam_from_data
Aggregate Policy Analysis Matricespam_aggregate
Build a PAM from an Itemised Agricultural Budgetpam_from_budget
Monte Carlo Uncertainty Analysis for a PAMas.data.frame.agri_pam_mc pam_monte_carlo plot.agri_pam_mc print.agri_pam_mc summary.agri_pam_mc
Deterministic Sensitivity Analysis for a PAMpam_sensitivity plot.agri_pam_sensitivity print.agri_pam_sensitivity
Extract Policy Analysis Matrix Resultspam_classify pam_indicators pam_matrix pam_transfers pam_values
Calculate an Import- or Export-Parity Priceparity_price
Methods for agriPAM Objectsas.data.frame.agri_pam plot.agri_pam print.agri_pam print.summary_agri_pam summary.agri_pam
Find a PAM Switching Valueprint.agri_pam_switch switching_value