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Papers: 10.1186/s12859-021-03970-7

https://doi.org/10.1186/s12859-021-03970-7

stochprofML: stochastic profiling using maximum likelihood estimation in R

Cited by: 3
Author(s): Lisa Amrhein, Christiane Fuchs
Published: over 4 years ago

Software Mentions 14

cran: cowplot
Streamlined Plot Theme and Plot Annotations for 'ggplot2'
Papers that mentioned: 298
Very Likely Science (83)
cran: dtangle
Cell Type Deconvolution from Gene Expressions
Papers that mentioned: 6
Very Likely Science (93)
cran: EnvStats
Package for Environmental Statistics, Including US EPA Guidance
Papers that mentioned: 24
Very Likely Science (85)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: knitr
A General-Purpose Package for Dynamic Report Generation in R
Papers that mentioned: 157
Very Likely Science (75)
cran: MASS
Support Functions and Datasets for Venables and Ripley's MASS
Papers that mentioned: 2,353
Very Likely Science (100)
cran: microbenchmark
Accurate Timing Functions
Papers that mentioned: 3
Very Likely Science (77)
cran: numDeriv
Accurate Numerical Derivatives
Papers that mentioned: 10
Very Likely Science (85)
cran: sm
Smoothing Methods for Nonparametric Regression and Density Estimation
Papers that mentioned: 42
Very Likely Science (93)
cran: stochprofML
Stochastic Profiling using Maximum Likelihood Estimation
Papers that mentioned: 2
Very Likely Science (75)
cran: vioplot
Violin Plot
Papers that mentioned: 133
Very Likely Science (100)
cran: zoo
S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)
Papers that mentioned: 45
Very Likely Science (75)
pypi: sm
ssh host command manager tool
Papers that mentioned: 42
Very Likely Science (65)
pypi: zoo
Zoo is a rpc framework for Python
Papers that mentioned: 45
Very Likely Science (65)