Package: IIProductionUnknown Type: Package Title: Analyzing Data Through of Percentage of Importance Indice (Production Unknown) and Its Derivations Version: 0.0.3 Authors@R: c(person(given = "Germano Leao", family = "Demolin-Leite", role = "aut", email = "germano.demolin@gmail.com", comment = c(ORCID = "0000-0002-2928-3193")), person(given = "Alcinei Mistico", family = "Azevedo", role = c("aut", "cre"), email = "alcineimistico@hotmail.com", comment = c(ORCID = "0000-0001-5196-0851"))) Description: The Importance Index (I.I.) can determine the loss and solution sources for a system in certain knowledge areas (e.g., agronomy), when production (e.g., fruits) is known (Demolin-Leite, 2021). Events (e.g., agricultural pest) can have different magnitudes (numerical measurements), frequencies, and distributions (aggregate, random, or regular) of event occurrence, and I.I. bases in this triplet (Demolin-Leite, 2021) . Usually, the higher the magnitude and frequency of aggregated distribution, the greater the problem or the solution (e.g., natural enemies versus pests) for the system (Demolin-Leite, 2021). However, the final production of the system is not always known or is difficult to determine (e.g., degraded area recovery). A derivation of the I.I. is the percentage of Importance Index-Production Unknown (% I.I.-PU) that can detect the loss or solution sources, when production is unknown for the system (Demolin-Leite, 2024) . License: GPL-3 Depends: crayon Encoding: UTF-8 Language: en-US LazyData: false RoxygenNote: 7.2.2 NeedsCompilation: no Packaged: 2026-07-03 10:59:15 UTC; root Author: Germano Leao Demolin-Leite [aut] (), Alcinei Mistico Azevedo [aut, cre] () Maintainer: Alcinei Mistico Azevedo Repository: https://cran.r-universe.dev Date/Publication: 2023-02-01 11:40:05 UTC RemoteUrl: https://github.com/cran/IIProductionUnknown RemoteRef: HEAD RemoteSha: 1f7d2b74bad4b6f14d1b9bb8eb4839365ae25379