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AutoWeatherIndices
View on CRAN: Click
here
Download and install AutoWeatherIndices package within the R console
Install from CRAN:
install.packages("AutoWeatherIndices")
Install from Github:
library("remotes")
install_github("cran/AutoWeatherIndices") Install by package version:
library("remotes")
install_version("AutoWeatherIndices", "0.1.0") Attach the package and use:
library("AutoWeatherIndices")
Maintained by
Achal Lama
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-26
Latest Update: 2022-08-26
Description:
Weather indices are formed from weather variables in this package. The users can input any number of weather variables recorded over any number of weeks. This package has no restriction on the number of weeks and weather variables to be taken as input.The details of the method can be seen (i)'Joint effects of weather variables on rice yields' by R. Agrawal, R. C. Jain and M. P. Jha in Mausam, vol. 34, pp. 189-194, 1983,,(ii)'Improved weather indices based Bayesian regression model for forecasting crop yield' by M. Yeasin, K. N. Singh, A. Lama and B. Gurung in Mausam, vol. 72, pp.879-886, 2021,.
How to cite:
Achal Lama (2022). AutoWeatherIndices: Calculating Weather Indices. R package version 0.1.0, https://cran.r-project.org/web/packages/AutoWeatherIndices. Accessed 06 Mar. 2026.
Previous versions and publish date:
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Complete documentation for AutoWeatherIndices
Functions, R codes and Examples using
the AutoWeatherIndices R package
Some associated functions: AotoWeatherIndices .
Some associated R codes: AutoWeatherIndices.R . Full AutoWeatherIndices package functions and examples
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