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| pedometrics-package | Pedometric Tools and Techniques |
| adjR2 | Adjusted coefficient of determination |
| allFactor | Tests for data types |
| allInteger | Tests for data types |
| allNumeric | Tests for data types |
| allNumint | Tests for data types |
| anyFactor | Tests for data types |
| anyInteger | Tests for data types |
| anyNumeric | Tests for data types |
| anyNumint | Tests for data types |
| bbox2sp | Create Spatial object from a bounding box |
| breakPoints | Stratification and categorization of continuous data |
| buildMS | Build a series of linear models using automated variable selection |
| cdfPlot | Plot estimated cumulative distribution function with confidence limits |
| cdfStats | Descriptive statistics of the cumulative distribution function of a continuous variable |
| cdfTable | Table with descriptive statistics of an estimated cumulative distribution function |
| checkGMU | Evaluation of geostatistical models of uncertainty |
| cont2cat | Stratification and categorization of continuous data |
| coordenadas | Prepare object for argument 'design' of 'spsurvey.analysis()' |
| cramer | Association between categorical variables |
| gcpDiff | Difference on xyz coordinates between ground control points |
| gcpVector | Calculate module and azimuth |
| isNumint | Tests for data types |
| optimRandomForest | Optimum number of iterations to de-bias a random forest regression |
| pedometrics | Pedometric Tools and Techniques |
| plotESDA | Plots for exploratory spatial data analysis (ESDA) |
| plotHD | Histogram and density plot |
| plotMS | Model series plot |
| rowMinCpp | Return the minimum value in each row of a numeric matrix |
| statsMS | Obtain performance statistics of a series of linear models |
| stepVIF | Variable selection using the variance-inflation factor |
| stratify | Stratification and categorization of continuous data |
| trend.matrix | Extract spatial trend data |
| trend.terms | Extract spatial trend data |
| uniqueClass | Tests for data types |
| vgmICP | Initial covariance parameters (ICP) |
| vgmLags | Lag-distance classes for variogram estimation |
| vgmSCV | Spatially correlated variance (SCV) |
| vgmSCV.georob | Spatially correlated variance (SCV) |
| vgmSCV.variogramModel | Spatially correlated variance (SCV) |
| vgmSCV.variomodel | Spatially correlated variance (SCV) |
| whichFactor | Tests for data types |
| whichInteger | Tests for data types |
| whichNumeric | Tests for data types |
| whichNumint | Tests for data types |