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

Papers: 10.1371/journal.pone.0156537

https://doi.org/10.1371/journal.pone.0156537

Gendist: An R Package for Generated Probability Distribution Models

Cited by: 8
Author(s): Shaiful Anuar Abu Bakar, Saralees Nadarajah, Zahrul Azmir Absl Kamarul Adzhar, Ibrahim Mohamed
Published: about 9 years ago

Software Mentions 16

cran: actuar
Actuarial Functions and Heavy Tailed Distributions
Papers that mentioned: 3
Very Likely Science (100)
cran: AdMit
Adaptive Mixture of Student-t Distributions
Papers that mentioned: 1
Very Likely Science (91)
cran: CompLognormal
Functions for actuarial scientists
Papers that mentioned: 1
Very Likely Science (75)
cran: copula
Multivariate Dependence with Copulas
Papers that mentioned: 5
Very Likely Science (85)
cran: gamlss.dist
Distributions for Generalized Additive Models for Location Scale and Shape
Papers that mentioned: 2
Very Likely Science (83)
cran: gendist
Generated Probability Distribution Models
Papers that mentioned: 8
Very Likely Science (83)
cran: GSM
Gamma Shape Mixture
Papers that mentioned: 40
Very Likely Science (75)
cran: Newdistns
Computes Pdf, Cdf, Quantile and Random Numbers, Measures of Inference for 19 General Families of Distributions
Papers that mentioned: 3
Very Likely Science (83)
cran: nor1mix
Normal aka Gaussian (1-d) Mixture Models (S3 Classes and Methods)
Papers that mentioned: 2
Very Likely Science (75)
cran: sgt
Skewed Generalized T Distribution Tree
Papers that mentioned: 1
Very Likely Science (83)
cran: SkewHyperbolic
The Skew Hyperbolic Student t-Distribution
Papers that mentioned: 1
Very Likely Science (83)
cran: skewt
The Skewed Student-t Distribution
Papers that mentioned: 1
Very Likely Science (75)
cran: sn
The Skew-Normal and Related Distributions Such as the Skew-t and the SUN
Papers that mentioned: 7
Very Likely Science (75)
pypi: copula
A python library for sampling and generating new Data points by multivariate Gaussian copulas.
Papers that mentioned: 5
Very Likely Science (95)
pypi: sgt
Sequence Graph Transform (SGT) is a sequence embedding function. SGT extracts the short- and long-term sequence features and embeds them in a finite-dimensional feature space. The long and short term patterns embedded in SGT can be tuned without any increase in the computation.
Papers that mentioned: 1
Very Likely Science (71)
pypi: stats
Calculator-style statistical functions
Papers that mentioned: 3,105
Very Likely Science (90)