Baseline triage | gdal_global_reg_names() returns character(0) | LoadLibrary failure when loading gdalraster | ModuleNotFoundError: No module named 'osgeo_utils' | CRS / projection errors despite GDAL loading | Download failures during install_gdal_runtime() | install_gdalraster() reports "source install did not produce an installed package" | After a GDAL version upgrade

What this package does | Quick start | Offline / air-gapped install | Embedded-python algorithms | Default install behavior | Troubleshooting basics | Background reading

The root problem | Toolchain stack | Why gdalraster must be rebuilt from source | Key build flags | Dependency closure: collect_dlls.sh | Runtime activation: why loading needs help | The embedded Python layer | Compile-time vs runtime paths | Reproducing the bundle | Upstream references

The Importance of Statistical Distributions in Actuarial Modelling | Severity - Claim Size | The Gamma Distribution Family | Lognormal Distribution | Pareto Distribution | Frequency Distributions | Severity Distributions | Fitting Distributions

Getting Started with lossrx | Overview | Life Cycle of a Claim | Various Events throughout Life of a Claim | Viewing Claim Historical Transactions with lossrx | Claim Historical Timeline | Claim History Details | Claim Transactional History | Workflow

Overview | Coverages | Typical Lossrun Fields | Example Lossrun | Triangles

lossrx Datasets | Loss Data | Worker's Compensation

Overview | Introduction | The Role of The Actuary | The Need for Loss Reserving | Life vs Property Casualty | Life Cycle of a Claim | Closed, IBNR, and RBNS Claims | Closed Claims | RBNS Claims | IBNR Claims | Loss Reserve Data | Micro to Macro | Data Ingestion

Setting Up R and RStudio | Installing R & RStudio | Download R | Additional Notes on R | Download RStudio | Additional Notes on RStudio | Configure RStudio Settings | Upgrading R | Installing and Setting Up Additional Software and Utilities | Advanced Configuration | Memory in R

Getting Started with R and Shiny | Getting Stated with R | Getting Started with GitHub | A Deeper Dive into R | Getting Started with Shiny | Build your own Shiny app and put it on GitHub! | Full Books on Shiny | Want More?