Intro | Workflow | Main methods | Weights | Reproducability (set.seed) | Performance / Parallelisation

Intro | Workflow | Main methods | Weights | Reproducability (set.seed) | Performance / Parallelisation

Data | View the data | Sensitive locations | Reducing sensitivity | Thanks to raster

Intro | Usage

Intro | Usage

Intro | A bit of theory | Formal description | Rule $r_i(\mathbf{x})$ | Example 1 | Example 2 | Rule system: | Mixed Integer Programming to FH | Enter inspect_mip: | Linear rules | Categorical rule | Multiple categories: | Conditional rule | Alltogether: | Weights

Intro | A bit of theory | Formal description | Rule $r_i(\mathbf{x})$ | Example 1 | Example 2 | Rule system: | Mixed Integer Programming to FH | Enter inspect_mip: | Linear rules | Categorical rule | Multiple categories: | Conditional rule | Alltogether: | Weights

The Accelerated Failure Time Model | Examples of AFTs | AFT Uncertainty Intervals | Example. | The Delta Method for Regression Models | Expected Values | Simulation Setup | Simulation for expected value CIs | Survivor Function | Simulations for Survivor Function | Prediction Intervals

Overview | Links | Using ciTools | Example | Confidence Intervals | Prediction Intervals | Response Probabilities | Response Quantiles | Scope of ciTools | Installation

The Generalized Linear Model | Overview of ciTools methods for GLMs | Confidence Intervals | Logistic Regression Example | Prediction Intervals | Poisson Example | Extension to Quasipoisson | Example | Simulation Study for Prediction Intervals | Poisson | Negative Binomial | Gamma | Gaussian with log link | Summary | Session

Introduction | Writing down our model | Types of intervals | Conditional vs. unconditional confidence intervals | Prediction intervals | Interval demonstration | Data | Confidence intervals | Prediction Intervals | Two intervals at once! | add_probs and add_quantile | Simulation | Unconditional confidence intervals | Conditional confidence intervals | Unconditional prediction intervals | Conditional prediction intervals

Logistic regression with binomial data | Binomial regression in R | Summary

Geocode addresses | Search for different type of locations | Return coordinates in a spatial dataframe with CRS WGS84 or RD_New | Return coordinates in a dataframe | Plot the output on a map

Geocode addresses | Search for different type of locations | Return coordinates in a spatial dataframe with CRS WGS84 or RD_New | Return coordinates in a dataframe | Plot the output on a map