• bnlearn

  • Referenced in 60 articles [sw08265]
  • Bayesian network structure learning, parameter learning and inference. This package implements constraint-based (GS, IAMB ... networks, along with many score functions and conditional independence tests. The Naive Bayes ... estimation (maximum likelihood and Bayesian) and inference, conditional probability queries and cross-validation. Development snapshots...
  • quantreg

  • Referenced in 142 articles [sw04356]
  • Quantile Regression. Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric...
  • party

  • Referenced in 27 articles [sw07330]
  • package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models ... into a well defined theory of conditional inference procedures. This non-parametric class of regression ... scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman...
  • coin

  • Referenced in 18 articles [sw08381]
  • package coin: Conditional Inference Procedures in a Permutation Test Framework. Conditional inference procedures...
  • partykit

  • Referenced in 22 articles [sw10634]
  • Furthermore, new and improved reimplementations of conditional inference trees (ctree) and model-based recursive partitioning...
  • Boogie

  • Referenced in 118 articles [sw07714]
  • optionally infers some invariants in the given Boogie program, and then generates verification conditions that...
  • cquad

  • Referenced in 8 articles [sw11083]
  • having the advantage of easily allowing conditional inference in order to eliminate the individual intercepts ... dynamic logit model by a pseudo conditional estimator based on the quadratic exponential model...
  • cplint

  • Referenced in 4 articles [sw22924]
  • executed experiments comparing exact and approximate inference with conditional and causal queries, showing that ... causal inference is often cheaper than conditional inference...
  • quantilogram

  • Referenced in 24 articles [sw25152]
  • provide the inference tools to do this under general conditions, and it can also ... provide the distribution theory needed to conduct inference, propose some model free upper bound critical...
  • corpor

  • Referenced in 21 articles [sw09381]
  • positive definite and well-conditioned covariance matrix. In addition to inferring the covariance matrix...
  • edgeR

  • Referenced in 48 articles [sw06936]
  • exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining ... overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with ... provided at least one phenotype or experimental condition is replicated. The software may have other...
  • RacerX

  • Referenced in 16 articles [sw09941]
  • sensitive, interprocedural analysis to detect both race conditions and deadlocks. It is explicitly designed ... large, complex multithreaded systems. It aggressively infers checking information such as which locks protect which ... detect both race conditions and deadlocks. It uses novel strategies to infer checking information such...
  • Viper

  • Referenced in 8 articles [sw15038]
  • execution, and one on verification condition generation; an inference tool based on abstract interpretion...
  • BioBayes

  • Referenced in 25 articles [sw08082]
  • Bayesian inference provide a consistent framework for modelling and predicting in these uncertain conditions...
  • corpcor

  • Referenced in 11 articles [sw10199]
  • positive definite and well-conditioned covariance matrix. In addition to inferring the covariance matrix...
  • Separation Logic

  • Referenced in 7 articles [sw28549]
  • canonical tasks such as verification condition generation and frame inference. Moreover, we provide...
  • dstat

  • Referenced in 1 article [sw36865]
  • double-use of the data by conditional inference. This conditional inference can, in favorable circumstances...
  • obliqueRSF

  • Referenced in 1 article [sw31325]
  • comparison to random survival forests, conditional inference forests, regression and boosting. In an application ... estimation according to the ORSF, the conditional inference forest, and the Pooled Cohort Risk equations...
  • netgwas

  • Referenced in 3 articles [sw21512]
  • Behrouzi and Wit, 2017b), and in inferring the conditional independence network for non-Gaussian, discrete...
  • Church

  • Referenced in 50 articles [sw08946]
  • defined in terms of evaluation histories and conditional distributions on such histories. Church also includes ... cluster over trials, infinite PCFGs, planning by inference, and various non-parametric clustering models. Finally...