Changes in version 1.3.0 - Refixed outliers merge to improve readability - Added some extra visiblity parameters in dilp_cca() that still don't completely work Changes in version 1.2.1 - Fixed Outliers merge so there aren't thousands of outliers. - Adjusted Errors so that it pulls by column header rather than index Changes in version 1.2.0 - Added Miller(2006) error calculations to temp_slr() - Added KowalskiDilcher (2003) regression to temp_slr() - Added dilp_whittaker() function for plotting localities to biome. - Makeover for error and outlier reporting from dilp() Changes in version 1.1.0 (2024-04-05) - Added view_regressions() to allow users to easily see their options for preloaded regressions in dilp, lma, temp, and precip. - Fixed dilp() so that the mixed_margins aren't screwing everything up. - Fixed dilp() documentation to properly reference the correct parameter options. - Entry field "no_primary_teeth" changed to "no_of_primary_teeth" for consistency - Updated provided data entry template so that column names match listed expected column names - Added conditionals to dilp() so that if you enter blanks for raw blade area, and raw blade perimeter, but length of cut perimeter is 0, blade perimeter/blade area are present, and the leaf is toothed, the raw values are automatically filled in with the blade perimeter/blade area values. - Added conditionals to dilp() site_mean values so that a locality with only untoothed leaves is assigned a site tc_ip of 0 and a site perimeter_ratio of 1, allowing MAT estimates to be formed. Changes in version 1.0.0 (2024-03-11) - Initial CRAN submission - dilp() given new argument subsite_cols to allow multiple tiers of specimen/morphotype organization. - dilp() given new options for regression parameters in params. Choose between "global" and "northern_hemisphere". Changes in version 0.0.0.9001 - Functions implemented for simple linear regression (temp_slr() and precip_slr()) Changes in version 0.0.0.9000 - Functions implemented for digital leaf physiognomy (dilp()) - Functions implemented for leaf mass per area reconstruction (lma())