pmfr: R with Positive Matrix Factorization (PMF)
In kralljr/pmfr: R with Positive Matrix Factorization (PMF)
Description
Details
References
Description
pmfr allows users to easily input and analyze results from
US EPA Positive Matrix Factorization (PMF) version 5.0.
Specifically, this package reads in relevant output,
formats the output, and provides data and visual summaries.
Details
Profiles
To read in profile information, users need to have the original data
and pmf output
pmfprof
To read in source contributions, users need to have the original data
and pmf output
pmfcont
References
Pentti Paatero and Unto Tapper (1994). Positive matrix
factorization: A non‐negative factor model with optimal utilization
of error estimates of data values. Environmetrics, 5(2), 111-126.
Gary Norris, Rachelle Duvall, Steve Brown, Song Bai (2014).
EPA Positive Matrix Factorization (PMF) 5.0 Fundamentals
and User Guide
kralljr/pmfr documentation built on Oct. 24, 2019, 11:02 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Details References
Description
pmfr allows users to easily input and analyze results from US EPA Positive Matrix Factorization (PMF) version 5.0. Specifically, this package reads in relevant output, formats the output, and provides data and visual summaries.
Details
Profiles
To read in profile information, users need to have the original data
and pmf output
pmfprof
To read in source contributions, users need to have the original data
and pmf output
pmfcont
References
Pentti Paatero and Unto Tapper (1994). Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data values. Environmetrics, 5(2), 111-126.
Gary Norris, Rachelle Duvall, Steve Brown, Song Bai (2014). EPA Positive Matrix Factorization (PMF) 5.0 Fundamentals and User Guide
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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