An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pone.0188660

https://doi.org/10.1371/journal.pone.0188660

An analytical approach to sparse telemetry data

Cited by: 3
Author(s): Michael J. Kinney, David Kacev, Suzanne Kohin, Tomoharu Eguchi
Published: over 7 years ago

Software Mentions 7

cran: gamm4
Generalized Additive Mixed Models using 'mgcv' and 'lme4'
Papers that mentioned: 111
Very Likely Science (75)
cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: MASS
Support Functions and Datasets for Venables and Ripley's MASS
Papers that mentioned: 2,353
Very Likely Science (100)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: rfPermute
Estimate Permutation p-Values for Random Forest Importance Metrics
Papers that mentioned: 42
Very Likely Science (85)
cran: rjags
Bayesian Graphical Models using MCMC
Papers that mentioned: 260
Very Likely Science (85)
pypi: Mako
A super-fast templating language that borrows the best ideas from the existing templating languages.
Papers that mentioned: 16
Very Likely Science (65)