Scope | Data and sample | Estimators | Mean group | Common correlated effects | Dynamic CCE | CS-ARDL output | Specifying and fitting models | MG | CCE | DCCE | CS-ARDL | Samples, missing values, and identification | Inference and R model methods | Residual cross-sectional dependence | Practical limits | References

Choose the right operation | Clamp values in R | Clamp values to a numeric interval | Preserve matrix and array shape | Clamp probabilities to zero and one | Test whether values are within a range | Wrap angles and periodic values in R | Wrap angles to one rotation | Wrap clock times and phases | Visualize periodic wrapping | Scalar recycling and vectorized bounds | Missing and infinite values | A validation-and-correction workflow | Interval semantics at a glance

Why use numops? | Quick reference | Clamp and wrap values in R | Clamp values to an interval | Test whether values are within a range | Wrap angles and periodic values | Linear interpolation and range remapping in R | Interpolate between endpoints | Remap one interval to another | Calculate midpoints safely | Handle division by zero in R | Normalize vectors, matrices, and arrays | Calculate the L2 norm of a vector | Normalize a vector to unit length | Normalize matrix rows and columns | Handle zero-length slices | Calculate adjacent differences | Recycling and output shape | A complete data-preparation example | Summary

Introduction | Installation | Getting Started | xtsum | Example | Genral example | Using pdata.frame object | Using regular data.frame with id and t specified | Specifying variables to include in the summary | Returning a data.frame object | Other Functions | between_max | Using pdata.frame | between_min | between_sd | Examples | using pdata.frame | within_max | within_min | within_sd | References