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r-pla

Anaconda Verified

Parallel Line Assays: Completely randomized design, Randomized Block design, and Latin squares design. Balanced data are fitted as described in the Ph.Eur. In the presence of missing values complete data analysis can be performed (with computation of Fieller's confidence intervals for the estimated potency), or imputation of values can be applied. The package contains a script such that a pdf-document with a report of an analysis of an assay can be produced from an input file with data of the assay. Here no knowledge of R is needed by the user.

Installation

To install this package, run one of the following:

Conda
$conda install r::r-pla

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About

Summary

Parallel Line Assays: Completely randomized design, Randomized Block design, and Latin squares design. Balanced data are fitted as described in the Ph.Eur. In the presence of missing values complete data analysis can be performed (with computation of Fieller's confidence intervals for the estimated potency), or imputation of values can be applied. The package contains a script such that a pdf-document with a report of an analysis of an assay can be produced from an input file with data of the assay. Here no knowledge of R is needed by the user.

Last Updated

Oct 15, 2019 at 15:07

License

GPL-2

Supported Platforms

noarch