Demo data | Module 1: Predict TF binding sites | Inputs | Run Module 1 | Outputs | Module 2: Connect TFs to target genes | Process | Module 3: Learn regulatory topics and visualize differential GRNs | Run regulatory topics | Topic assignment interpretation | Review topic modeling and differential GRNs | Next steps

A priori — sample size | Post hoc — achieved power | Criterion — alpha | Sensitivity — effect size | Compromise — alpha and beta ratio | Effect size conversions | Calculator | Related

Differential expression | ROC and AUC | Diagnostic accuracy | Survival (log-rank) | Cox prognostic models | Multiplicity and FDR | Related

Example: Planning a One-Sample Mean Test | Choosing tests | Sidebar modules | Related

Phase III superiority | Non-inferiority | Equivalence (TOST) | Simon two-stage (Phase II) | Cluster RCT | Survival endpoints | Binary and count endpoints | Related

In plain English | Sidebar modules | Launch the app | Typical workflow | Worked example (script) | Related analyses

Example 1: One-sample t, a priori | Example 2: Multiple regression omnibus, post hoc | Example 3: ANOVA special, post hoc | Example 4: Two-sample t, unequal n, post hoc | Recommended tolerances | Related

Implemented scenarios (48 tests) | Power Workspace (30 tests) | Biomarker Discovery (7 tests) | Clinical Trials (11 tests) | Decision table | Not yet implemented | Related

Coverage table | Counts by module | Mode restrictions | Vignette index | Related analyses

One sample | Two independent means | Matched pairs | Point-biserial correlation | Linear regression slope | Two-group slope difference | Generic t (direct NCP) | Related

ANOVA and regression | Exact and proportion tests | Correlation and z tests | Logistic and Poisson regression | Nonparametric tests | Related

A priori — sample size | Post hoc — achieved power | Criterion — alpha | Sensitivity — effect size | Compromise — alpha and beta ratio | Effect size conversions | Calculator | Related

Differential expression | ROC and AUC | Diagnostic accuracy | Survival (log-rank) | Cox prognostic models | Multiplicity and FDR | Related

Example: Planning a One-Sample Mean Test | Choosing tests | Sidebar modules | Related

Phase III superiority | Non-inferiority | Equivalence (TOST) | Simon two-stage (Phase II) | Cluster RCT | Survival endpoints | Binary and count endpoints | Related

In plain English | Sidebar modules | Launch the app | Typical workflow | Worked example (script) | Related analyses

Example 1: One-sample t, a priori | Example 2: Multiple regression omnibus, post hoc | Example 3: ANOVA special, post hoc | Example 4: Two-sample t, unequal n, post hoc | Recommended tolerances | Related

Implemented scenarios (48 tests) | Power Workspace (30 tests) | Biomarker Discovery (7 tests) | Clinical Trials (11 tests) | Decision table | Not yet implemented | Related

Coverage table | Counts by module | Mode restrictions | Vignette index | Related analyses

One sample | Two independent means | Matched pairs | Point-biserial correlation | Linear regression slope | Two-group slope difference | Generic t (direct NCP) | Related

ANOVA and regression | Exact and proportion tests | Correlation and z tests | Logistic and Poisson regression | Nonparametric tests | Related

Fit a model | Summarize posterior samples | Common early mistakes | Naming convention | Citation

Observation model | PGMM covariance constraints | Priors and posterior updates | Augmented representation and sufficient statistics | [\sum_{i: z_i = k}(x_i - \tilde{\Lambda}k \tilde{y}{ki})(x_i - \tilde{\Lambda}k \tilde{y}{ki})' | Latent scores, means, and mixture weights | Hyperparameter updates | PGMM conditional posteriors (corrected forms) | RJMCMC moves | Birth and death | Split and combine | Covariance-structure moves | Interface mapping | Citation

Simulate data with informative and weak variables | Fit a short clustering chain | Rank variables by posterior allocation separation | Compare with loading magnitudes | Interpretation | Suggested reporting language

Matrix orientation | Check finite numeric inputs | Scale variables | Hyperprior defaults | Choose q_new | Choose m_range | Choose the starting covariance model | A prepared call | Practical checklist

Simulate a small clustering problem | Fit a fixed-model chain | Summarize posterior samples | Inspect component parameters | Scale the example to real data | What to report

Simulate clustered factor-analytic data | Run RJMCMC model selection | Compare true and posterior allocations | Interpreting short versus long runs

Simulate a diagnostic example | Run independent chains | Summarize each chain | Trace cluster counts and covariance models | Posterior co-clustering matrix | What to look for

RJSONIO's Role | Package Selection | Compatibility Contract | Performance Comparisons

Parser handlers | String callbacks | JavaScript variable output | S4 objects

File paths | Text connections | File connections | Parser callbacks | Streaming parser | Practical notes

Parse JSON text | Parse files | Parse connections | Null values | Simplification | Sample data

Basic parsing | Basic serialization | Validation | Round trips

JSON to R | R to JSON | Empty containers | Simplification constants

Atomic vectors | Lists and nested values | Data frames | Matrices and arrays | Missing and empty values | Numeric formatting

Outline | Making it official

Installation | Why would we do this? | Motivating example | Options within the function | dictionary | retain_unmatched | A disclaimer on handling gender responses | Contributing to this package | Acknowledgement of Country

Installation | Data sources | medRxiv data | bioRxiv data | Performing your search | Dataset description | Export records identified by your search to a .BIB file | Download PDFs for records identified by your search | Further guidance

TextReuse classes | TextReuseTextDocument | TextReuseCorpus | Tokenizers | Hash functions | Comparison functions | Parallelization

Introduction | Basic Usage | Working with Multiple Configurations | Advanced Parsing Features | Overriding and Merging Configurations | Merging Configurations | Dynamic Configuration Selection | Troubleshooting

Introduction | Example 1: Basic Volcano Plot | Example 2: Volcano Plot with Custom Point Aesthetics | Example 3: Volcano Plot with Color Gradient | Example 4: Volcano Plot with Custom Labels and Connectors | Example 5: Volcano Plot with Custom Gridlines and Full Border | Example 6: Volcano Plot with an Additional Horizontal Line | Example 7: Volcano Plot with Custom Axis Labels and Subtitle | Example 8: Volcano Plot with a Custom Legend

Install sofa | sofa package API | Create a connection client | Ping your server | Create a new database | List databases | Create a document | Changes feed | Search

CouchDB query table