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fuzzySim updated to 3.0 on CRAN!

February 11, 2020
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fuzzySim updated to 3.0 on CRAN!

The newest version of R package fuzzySim (3.0) is now on CRAN! It includes new functions such as ‘favClass‘, ‘bioThreat‘ and ‘gridRecords‘; improvements to some functions, help files and examples; updated e-mail and citation information ; clarifications … Continue reading →

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This blog is now on R-bloggers!

February 9, 2020
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I should have done this long ago, but it’s never too late: modTools has finally been added to R-bloggers — a content aggregator contributed by bloggers who write about R, empowering bloggers to empower other R users. I hope the … Continue reading →

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Grid point occurrence records onto a raster

February 3, 2020
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Grid point occurrence records onto a raster

The ‘gridRecords‘ function, which has just been added to the ‘fuzzySim‘ package (from version 2.6 on), takes a raster stack and a set of spatial coordinates of a species’ presence (and optionally absence) records, and returns a data frame with … Continue reading →

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modEvA 2.0 now on CRAN!

January 21, 2020
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The new version of modEvA (2.0) is now on CRAN! It can produce some new plots, such as the precision-recall curve and the histograms/densities of predicted values for presence and absence observations. It calculates some additional evaluation measures, such as … Continue reading →

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Area under the precision-recall curve

January 17, 2020
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Area under the precision-recall curve

The AUC function, in the modEvA package, initially computed only the area under the receiver operating characteristic (ROC) curve. Now, since modEvA version 1.7 (currently available on R-Forge), it also offers the option to compute the precision-recall curve, which may … Continue reading →

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Plot the density of predicted values for presences and absences

January 15, 2020
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Plot the density of predicted values for presences and absences

The ‘predDensity’ function, included in the modEvA package since version 1.5 (currently available on R-Forge), produces a histogram and/or a kernel density plot of predicted values for observed presences and absences in a binomial GLM: Usage example:

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Variable selection with multGLM

January 9, 2020
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The ‘multGLM‘ function in the ‘fuzzySim‘ R package automatically calculates generalized linear models for one or more species, with a range of options for variable selection. However, you may want to build your final models with other methods (e.g. multimodel-inference … Continue reading →

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Plot shared favourability for two competing species

March 8, 2019
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Plot shared favourability for two competing species

The sharedFav function below implements the graphical analyses of Acevedo et al. (2010, 2012) on biogeographical interactions. It takes two vectors of favourability values at different localities for, respectively, a stronger and a weaker competing species (or two equally strong … Continue reading →

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Calculate biotic threat of a stronger over a weaker species

March 4, 2019
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The bioThreat function below takes two vectors of favourability values at different localities for, respectively, a stronger and a weaker species (e.g., a superior vs. an inferior competitor, or an invasive predator vs. an unadapted native prey), and calculates the … Continue reading →

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Package fuzzySim now on CRAN!

December 19, 2018
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The fuzzySim package, which is regularly maintained on R-Forge, is finally also available on the CRAN official repository, in its latest version 2.0! Many thanks especially to Alba Estrada for invaluable help with bug search.

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