• INLA

  • Referenced in 24 articles [sw07535]
  • toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA) This ... that are based on log-Gaussian Cox processes and include local interaction in these...
  • lgcp

  • Referenced in 14 articles [sw22045]
  • Inference with Spatio-Temporal Log-Gaussian Cox Processes. This paper introduces an R package ... prediction and forecasting for log-Gaussian Cox processes. The main computational tool for these models...
  • FracSim3D

  • Referenced in 8 articles [sw12621]
  • stochastic rock fracture simulation using marked point processes. Fracture locations can be modelled ... homogeneous, a cluster or a Cox point process; fracture geometries and properties are modelled...
  • OUOUCIR

  • Referenced in 1 article [sw34465]
  • adaptive trait evolution using Cox-Ingersoll-Ross process: an approximate Bayesian computation approach. Over ... processes, Brownian motion and the Ornstein-Uhlenbeck process, have been frequently applied for describing continuous ... other traits. Applying the Cox-Ingersoll-Ross (CIR) process on rate of evolution, which prevents...
  • coxinterval

  • Referenced in 3 articles [sw23154]
  • Cox-type models based on interval-censored data from a survival or illness-death process...
  • icmm

  • Referenced in 3 articles [sw21305]
  • process. The current version of this package can handle the normal, binary logistic, and Cox...
  • distcomp

  • Referenced in 1 article [sw20070]
  • master R process (using ’opencpu’, for example). A stratified Cox model and a singular value...
  • coxph

  • Referenced in 2 articles [sw13355]
  • Proportional Hazards Regression Model. Fits a Cox proportional hazards regression model. Time dependent variables, time ... other extensions are incorporated using the counting process formulation of Andersen and Gill...
  • WebDISCO

  • Referenced in 1 article [sw23474]
  • authors develop a web service for distributed Cox model learning (WebDISCO), which focuses ... sensitive patient-level data can be processed locally and only the less-sensitive intermediate statistics ... exchanged to build a global Cox model. Mathematical derivation shows that the proposed distributed algorithm...
  • joineRML

  • Referenced in 4 articles [sw19419]
  • event data is modelled using a Cox proportional hazards regression model with time-varying covariates ... captured by a multivariate latent Gaussian process. The model is estimated using a Monte Carlo...
  • stthreg

  • Referenced in 2 articles [sw14641]
  • sample path of a Wiener diffusion process and is well suited to applications involving time ... serves as an important alternative to the Cox proportional hazards model. The four commands that...
  • DPWeibull

  • Referenced in 0 articles [sw20438]
  • Dirichlet process, we assume a multiplicative effect of covariates as in Cox model and Fine...
  • DistStat.jl

  • Referenced in 1 article [sw36529]
  • cluster supercomputing environments. Acceleration via graphics processing units (GPUs) requires to write kernel code ... matrix factorization, multidimensional scaling, and ℓ1-regularized Cox proportional hazards model...
  • GAP

  • Referenced in 2850 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • LAPACK

  • Referenced in 1626 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Magma

  • Referenced in 2857 articles [sw00540]
  • Computer algebra system (CAS). Magma is a large...
  • Maple

  • Referenced in 5040 articles [sw00545]
  • The result of over 30 years of cutting...
  • Mathematica

  • Referenced in 5883 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 12074 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • mclust

  • Referenced in 257 articles [sw00563]
  • R package mclust: Normal Mixture Modeling for Model...