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

Papers: 10.1371/journal.pone.0237001

https://doi.org/10.1371/journal.pone.0237001

Highs and lows: Genetic susceptibility to daily events

Cited by: 9
Author(s): Maurizio Sicorello, Linda Dieckmann, Dirk Moser, Vanessa Lux, Maike Luhmann, A. Neubauer, Wolff Schlotz, Robert Kumsta
Published: almost 5 years ago

Software Mentions 4

cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: nlme
Linear and Nonlinear Mixed Effects Models
Papers that mentioned: 3,265
Very Likely Science (100)
cran: simr
Power Analysis for Generalised Linear Mixed Models by Simulation
Papers that mentioned: 46
Very Likely Science (100)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)