<?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>lalitrolaniya.r-universe.dev</title><link>https://lalitrolaniya.r-universe.dev</link><description>Recent package updates in lalitrolaniya</description><generator>R-universe</generator><image><url>https://github.com/lalitrolaniya.png</url><title>R packages by lalitrolaniya</title><link>https://lalitrolaniya.r-universe.dev</link></image><lastBuildDate>Sat, 11 Jul 2026 12:59:45 GMT</lastBuildDate><item><title>[lalitrolaniya] aridagri 2.0.4</title><author>lalitrolaniya@gmail.com (Lalit Kumar Rolaniya)</author><description>A comprehensive suite of statistical and analytical tools
for agricultural research. Includes complete analysis of
variance (ANOVA) functions for all experimental designs:
Completely Randomized Design (CRD), Randomized Block Design
(RBD), Pooled RBD, Split Plot with all variations, Split-Split
Plot, Strip Plot, Latin Square, Factorial, Augmented, and Alpha
Lattice, with proper error terms and comprehensive Standard
Error (SE) and Critical Difference (CD) calculations. Features
multiple post-hoc tests: Least Significant Difference (LSD),
Duncan Multiple Range Test (DMRT), Tukey Honestly Significant
Difference (HSD), Student-Newman-Keuls (SNK), Scheffe,
Bonferroni, and Dunnett, along with assumption checking and
publication-ready output. Advanced methods include stability
analysis using Eberhart-Russell regression, Additive Main
Effects and Multiplicative Interaction (AMMI), Finlay-Wilkinson
regression, Shukla stability variance, Wricke ecovalence,
Coefficient of Variation (CV), and Cultivar Superiority Index
as described in Eberhart and Russell (1966)
&lt;doi:10.2135/cropsci1966.0011183X000600010011x&gt;. Thermal
indices include Growing Degree Days (GDD), Heliothermal Units
(HTU), Photothermal Units (PTU), and Heat Use Efficiency (HUE).
Crop growth analysis covers Crop Growth Rate (CGR), Relative
Growth Rate (RGR), Net Assimilation Rate (NAR), and Leaf Area
Index (LAI). Also provides harvest index, yield gap analysis,
economic efficiency indices (Benefit-Cost ratio), nutrient use
efficiency calculations, correlation matrix, Principal
Component Analysis (PCA), path analysis, and Structural
Equation Modeling (SEM). Statistical methods follow Gomez and
Gomez (1984, ISBN:0471870927) and Panse and Sukhatme (1985,
ISBN:8170271169).</description><link>https://github.com/r-universe/lalitrolaniya/actions/runs/37915380950</link><pubDate>Sat, 11 Jul 2026 12:59:45 GMT</pubDate><r:package>aridagri</r:package><r:version>2.0.4</r:version><r:status>success</r:status><r:repository>https://lalitrolaniya.r-universe.dev</r:repository><r:upstream>https://github.com/lalitrolaniya/aridagri</r:upstream></item><item><title>[lalitrolaniya] wefnexus 1.0.0</title><author>lalitrolaniya@gmail.com (Lalit Kumar Rolaniya)</author><description>Provides functions for analysing
Water-Energy-Food-Nutrient-Carbon (WEFNC) nexus interactions in
agricultural production systems. Includes functions for
computing water use efficiency (WUE), water productivity (WP),
and water footprint (WF) including green, blue, and grey
components following the methodology of Hoekstra et al. (2011,
ISBN:9781849712798). Includes energy budgeting tools for energy
use efficiency (EUE), energy return on investment (EROI), net
energy (NE), and energy productivity (EP). Computes nutrient
use efficiency (NUE) metrics including agronomic efficiency
(AE), physiological efficiency (PE), recovery efficiency (RE),
and partial factor productivity (PFP) as defined by Dobermann
(2007) &lt;https://digitalcommons.unl.edu/agronomyfacpub/316/&gt; and
Congreves et al. (2021) &lt;doi:10.3389/fpls.2021.637108&gt;.
Estimates carbon footprint (CF), greenhouse gas (GHG)
emissions, soil organic carbon (SOC) stocks, and global warming
potential (GWP) using Intergovernmental Panel on Climate Change
(IPCC) Sixth Assessment Report (AR6) default values (CH4 = 27,
N2O = 273) as reported in Forster et al. (2021)
&lt;doi:10.1017/9781009157896.009&gt;. Computes composite
Water-Energy-Food-Nutrient-Carbon (WEFNC) nexus indices,
trade-off correlation matrices, and generates radar and heatmap
visualizations for comparing agricultural treatments. Supports
conservation agriculture (CA), irrigated and rain-fed systems,
and arid and semi-arid production environments. Methods follow
Lal (2004) &lt;doi:10.1016/j.envint.2004.03.005&gt; for carbon
emissions from farm operations, and Hoover et al. (2023)
&lt;doi:10.1016/j.scitotenv.2022.160992&gt; for water use efficiency
indicators.</description><link>https://github.com/r-universe/lalitrolaniya/actions/runs/38053113901</link><pubDate>Thu, 02 Apr 2026 13:32:34 GMT</pubDate><r:package>wefnexus</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://lalitrolaniya.r-universe.dev</r:repository><r:upstream>https://github.com/lalitrolaniya/wefnexus</r:upstream><r:article><r:source>wefnexus-intro.Rmd</r:source><r:filename>wefnexus-intro.html</r:filename><r:title>WEFNC Nexus Analysis for Agricultural Systems</r:title><r:created>2026-04-02 12:07:32</r:created><r:modified>2026-04-02 12:07:32</r:modified></r:article></item></channel></rss>