Introduction | Installing the required software packages | How to learn more about the objects included in the package | Data sets | beanie: Age and value of beanie baby toys. | bill: Wealth and age of world billionaires | bodyfat : Body fat percentage and skinfold thickness of athletes | bombhits: Number and frequency of bombhits in London | cement: Breaking strength of cement | cfail: Number of weekly computer failures | cheese : Taste of cheese | emissions : Exhaust emissions of cars | err_age : Error in guessing ages from photographs | ffood : Service times in a fast food restaurant | gasmileage : Gas mileage of cars | possum : Body weight and length of possums in Australian regions | puffin : Nesting habits of puffins in Newfoundland | rice : data set on rice yield | wgain: Weight gain of students starting college | Illustrated R functions | The butterfly function | Simulation of the Monty Hall game | Functions illustrating the Central Limit Theorem (CLT) | Functions illustrating the Weak Law of Large Numbers (WLLN) | Discussion | References

Introduction | Point reference spatial data modeling | Illustration data set nyspatial | The Bspatial function for fitting spatial regression models | Fitting independent error regression models | Fitting linear models with spatial error distribution | Fitting spatial models with nugget effect | Illustrating the model validation statistics | Point reference spatio-temporal data modeling | Illustration data set nysptime | The Bsptime function for fitting spatio-temporal models | Modeling areal unit data | Two illustration data sets on Covid-19 mortality from England | The Bcartime function for fitting CAR models | Modeling static areal unit data | Logistic regression model for areal unit data | Poisson regression model (disease mapping) for areal unit data | Normal regression model for areal unit data | Modeling temporal areal unit data | Spatio-temporal GLM fitting with binomial distribution | Spatio-temporal GLM fitting with Poisson distribution | Spatio-temporal GLM fitting with normal distribution | Discussion | References