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

Papers: 10.3390/jfmk6020036

https://doi.org/10.3390/jfmk6020036

Predicting Adaptations to Resistance Training Plus Overfeeding Using Bayesian Regression: A Preliminary Investigation

Cited by: 4
Author(s): R. Scott Smith, Patrick S. Harty, Matthew T. Stratton, Zad Rafi, Christian Rodriguez, Jacob R. Dellinger, Marqui L. Benavides, Baylor A Johnson, Sarah J. White, Abegale D Williams, Grant M. Tinsley
Published: over 4 years ago

Software Mentions 11

cran: bayesplot
Plotting for Bayesian Models
Papers that mentioned: 16
Very Likely Science (93)
cran: boot
Bootstrap Functions (Originally by Angelo Canty for S)
Papers that mentioned: 143
Very Likely Science (83)
cran: brms
Bayesian Regression Models using 'Stan'
Papers that mentioned: 316
Very Likely Science (100)
cran: GGIR
Raw Accelerometer Data Analysis
Papers that mentioned: 81
Very Likely Science (100)
cran: loo
Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Papers that mentioned: 29
Very Likely Science (93)
cran: mice
Multivariate Imputation by Chained Equations
Papers that mentioned: 455
Very Likely Science (100)
cran: rms
Regression Modeling Strategies
Papers that mentioned: 1,236
Very Likely Science (100)
pypi: boot
VHDL simulator and synthesis tool
Papers that mentioned: 143
Very Likely Science (65)
pypi: loo
LooMan Cli
Papers that mentioned: 29
Very Likely Science (65)
pypi: mice
Multi-iteration Stochastic Estimator
Papers that mentioned: 455
Very Likely Science (80)
pypi: stan
Papers that mentioned: 23
Very Likely Science (65)