<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>chiranjit4969.r-universe.dev</title><link>https://chiranjit4969.r-universe.dev</link><description>Recent package updates in chiranjit4969</description><generator>R-universe</generator><image><url>https://github.com/chiranjit4969.png</url><title>R packages by chiranjit4969</title><link>https://chiranjit4969.r-universe.dev</link></image><lastBuildDate>Thu, 10 Sep 2026 09:30:09 GMT</lastBuildDate><item><title>[chiranjit4969] agriPAM 0.1.0</title><author>majumder.chira@gmail.com (Chiranjit Mazumder)</author><description>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).</description><link>https://github.com/r-universe/chiranjit4969/actions/runs/38130610281</link><pubDate>Thu, 10 Sep 2026 09:30:09 GMT</pubDate><r:package>agriPAM</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://chiranjit4969.r-universe.dev</r:repository><r:upstream>https://github.com/cran/agriPAM</r:upstream><r:article><r:source>introduction.Rmd</r:source><r:filename>introduction.html</r:filename><r:title>Agricultural Policy Analysis with agriPAM</r:title><r:created>2026-09-10 09:30:09</r:created><r:modified>2026-09-10 09:30:09</r:modified></r:article><r:article><r:source>uncertainty.Rmd</r:source><r:filename>uncertainty.html</r:filename><r:title>Sensitivity, Switching Values, and Monte Carlo PAM Analysis</r:title><r:created>2026-09-10 09:30:09</r:created><r:modified>2026-09-10 09:30:09</r:modified></r:article></item><item><title>[chiranjit4969] IndFarmCost 0.1.0</title><author>majumder.chira@gmail.com (Chiranjit Mazumder)</author><description>Implements commonly used Indian farm cost concepts for
agricultural economic analysis, including Cost A1, A2, B1, B2,
C1, C2, and C3. Tools are provided to calculate cost concepts
from farm-level input data, aggregate costs across groups,
summarize distributions, compute returns and benefit-cost
ratios, estimate cost of production and break-even values,
decompose cost shares, conduct one-way sensitivity analysis,
and visualize concept-wise costs. The implementation is
designed for reproducible farm management and
cost-of-cultivation studies.</description><link>https://github.com/r-universe/chiranjit4969/actions/runs/38130686992</link><pubDate>Thu, 10 Sep 2026 08:30:08 GMT</pubDate><r:package>IndFarmCost</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://chiranjit4969.r-universe.dev</r:repository><r:upstream>https://github.com/cran/IndFarmCost</r:upstream><r:article><r:source>indian-farm-cost-concepts.Rmd</r:source><r:filename>indian-farm-cost-concepts.html</r:filename><r:title>Indian Farm Cost Concepts with IndFarmCost</r:title><r:created>2026-09-10 08:30:08</r:created><r:modified>2026-09-10 08:30:08</r:modified></r:article></item></channel></rss>