Life expectancy in the US | Operating within the loop | Using ith_step() with multiple chains | Saving information as it happens

Customizing existing partitioners | Creating new partitioners | partition_step(), map_cluster(), and reduce_cluster()

Introduction to the partition package | Reducing data with partition | The partition algorithm | Direct-Measure-Reduce and Partitioners | Permutation tests | References

The slurmR R package | Socket clusters | Job arrays using the *apply family | Sockets vs Arrays | Example simulating Pi | Single node (machine), multi-core simulation | Multi-job submission with job arrays | Multi-node cluster object

Introduction | Introduction to the LUCID model | General workflow | Fit LUCID model | Interpreting LUCID model | Visualization of LUCID | Regularization | Model selection | Inference | Incorporating missing omics data

Setup | Simulation | Inference

Introduction | Definitions | Submitting jobs via sbatch

Motivating example | Reusing fmcmc_kernel objects | Accessing other elements of the chain

Introduction | Size parameter in a binomial distribution

Introduction | Checking logs | Job-resubmission

Overview | Implementation | General input | Get conditional $\hat{A}$ matrix | Example | Data exploration | Conversion of $\hat{A}$ matrix | hJAM | Conclusion

Introduction | Paper | Installing and loading the package | Installation | Bioconductor | Input data | Mutation Position Format | Workflow | Get input data | Perform the selecting process | Visualizing the results | Session info

Introduction | Paper | Installing and loading the package | Installation | Bioconductor | Just Another Gibbs Sampler (JAGS) | Input data | Mutation Position Format | Workflow | Get input data | Run tests from HiLDA | Perform the global test and the local test | Get signatures from pmsignature | Perform the global test and the local test with initial values | Assess Convergence of MCMC chains | Visualize the mutation signatures from pmsignature | Visualize the mutation signatures from HiLDA | Output the posterior distribution of the mean difference in exposures