CRAN/E | soiltestcorr

soiltestcorr

Soil Test Correlation and Calibration

Installation

About

A compilation of functions designed to assist users on the correlation analysis of crop yield and soil test values. Functions to estimate crop response patterns to soil nutrient availability and critical soil test values using various approaches such as: 1) the modified arcsine-log calibration curve (Correndo et al. (2017) doi:10.1071/CP16444); 2) the graphical Cate-Nelson quadrants analysis (Cate & Nelson (1965)), 3) the statistical Cate-Nelson quadrants analysis (Cate & Nelson (1971) doi:10.2136/sssaj1971.03615995003500040048x), 4) the linear-plateau regression (Anderson & Nelson (1975) doi:10.2307/2529422), 5) the quadratic-plateau regression (Bullock & Bullock (1994) doi:10.2134/agronj1994.00021962008600010033x), and 6) the Mitscherlich-type exponential regression (Melsted & Peck (1977) doi:10.2134/asaspecpub29.c1). The package development stemmed from ongoing work with the Fertilizer Recommendation Support Tool (FRST) and Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification (SIIL) projects.

Citation soiltestcorr citation info
adriancorrendo.github.io/soiltestcorr/
soiltestfrst.org/
www.siildigitalagconsortium.com/
Bug report File report

Key Metrics

Version 2.2.0
R ≥ 3.6.0
Published 2023-04-07 551 days ago
Needs compilation? no
License MIT
License File
CRAN checks soiltestcorr results

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Maintainer

Maintainer

Adrian A. Correndo

Authors

Adrian A. Correndo

cre / cph

Adrian A. Correndo

aut

Austin Pearce

aut

Fernando Miguez

ctb

Deanna Osmond

aut

Ignacio A. Ciampitti

aut

Material

README
NEWS
Reference manual
Package source

In Views

Agriculture

Vignettes

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macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

soiltestcorr archive

Depends

R ≥ 3.6.0

Imports

stats
dplyr
rlang
tidyr
utils
purrr
data.table
ggplot2
ggpp
nlstools
minpack.lm
modelr
nlraa
AICcmodavg
smatr

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