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AMModels (version 0.1.4)

Adaptive Management Model Manager

Description

Helps enable adaptive management by codifying knowledge in the form of models generated from numerous analyses and data sets. Facilitates this process by storing all models and data sets in a single object that can be updated and saved, thus tracking changes in knowledge through time. A shiny application called AM Model Manager (modelMgr()) enables the use of these functions via a GUI.

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Version

Install

install.packages('AMModels')

Monthly Downloads

285

Version

0.1.4

License

GPL-3

Maintainer

Jon Katz

Last Published

October 30th, 2018

Functions in AMModels (0.1.4)

methods-amModelLib

Methods For Displaying, Summarizing, And Manipulating amModelLib Objects
rmModel

Remove An amModel Or amData Object From An amModelLib Object
amModel

Create An amModel Object That Pairs Models With Their Metadata
insertAMModelLib

Insert Model Of Class amModel Or Dataset Of Class amData Into An amModelLib Object
amModelLib

Create An AMModelLib Object That Stores Lists Of amModel And amData Objects
simCovariate

Simulate A Dataframe Of Uncorrelated Covariate(s)
lsModels

List Names Of amModel Or amData Objects In An amModelLib Object.
modelMgr

Graphical UI For The AMModels Package
mymodels

Sample amModelLib Object Containing Models and Data.
AMModels

Search for a model in a model list using grep
amData

Create An amData Object That Pairs Datasets With Associated Metadata
methods-amModel

Methods For Displaying, Summarizing, And Manipulating amModel And amData Objects
getters

Extract A Single Model or Data Object, Get Or Set Info, Description, Or Metadata.
grepAMModelLib

Search For A Model In A Model List Using grep