Changes in version 0.7.0 (2024-03-20) New Features - predict() method for class 'calibration' Changes in version 0.6.0 (2023-09-20) New Features - Inverse predict concentrations from calibration curves using inv_predict() - as.list() method for class 'calibration' - pkgdown documentation Minor Improvements - Code coverage - GitHub Actions for macOS - Don't export mselect() fork anymore; use drc::mselect() instead Changes in version 0.5.5 (2023-08-07) Minor Improvements - The check_assumptions argument in calibration() is now less verbose; test results may be retrieved by calling print() - Replaced size argument in ggplot2::element_rect() and ggplot2::element_line() with linewidth - Update SOP for particle size estimations using texture() - Changed maintainer email address - Corrected typos Changes in version 0.5.4 (2022-10-07) Bug Fixes - skip tests for ggplot2 v3.4.0 due to deprecation warnings; replace size argument in ggplot2::element_rect() with linewidth later Changes in version 0.5.3 (2022-09-21) Bug Fixes - Fixed moved URLs Changes in version 0.5.2 Minor Improvements - Update GitHub Actions - Tidy news file Bug Fixes - Fix 'invalid nsmall argument' error when using signifig() with certain value combinations Changes in version 0.5.1 (2021-03-05) New Features - Finding optimum weights for weighted calibrations using weight_select() - Calculating matrix effects (signal suppression/enhancement) with matrix_effect() - calibration() now checks for model assumptions Minor Improvements - Additional "blanks" parameter introduced to calibration(), lod(), and loq() - Snapshot testing - Improved and more consistent documentation Changes in version 0.4.2 (2021-02-04) Minor Improvements - Move to testthat 3rd edition Bug Fixes - Fix regression when using weights in calibration() Changes in version 0.4.1 (2021-01-21) New Features - First preparations for weights support in calibration() Minor Improvements - Rename master branch to main Bug Fixes - Update testthat::expect_equal() calls to keep compatibility with R 4.1.0 Changes in version 0.4.0 Minor Improvements - texture() now takes data as formula - tibble support for texture() - loq() iterates only until significant digits won't change anymore Bug Fixes - Force percentage bounds for texture() to 0 and 100 - Increased margins for theme_publish() Changes in version 0.3.3 (2018-04-27) Minor Improvements - First CRAN release - Better package description Changes in version 0.3.2 Bug Fixes - Reimplementation of drc's mselect() for texture() to get rid of global variables Changes in version 0.3.1 Minor Improvements - loq() now uses iterations instead of estimating the value from lod() Bug Fixes - Better handling of unbalanced designs in calibration() Defunct Functions - make.raw(), use rep() instead ;-) Changes in version 0.3.0 New Features - Starting with testthat Minor Improvements - signifig() supports 'siunitx' LaTeX output - Better data handling in calibration() - Updated man pages Bug Fixes - theme_publish() updated to work with current ggplot2 versions - signifig() can handle zeros better Defunct Functions - puri.test(), use lmer on ranks (lme4) with Type II-ANOVA (car) instead Changes in version 0.2.2 Bug Fixes - Temporary fix to make mselect() work - TODO: Get rid of assignment to .GlobalEnv Changes in version 0.2.1 Minor Improvements - Switch to drc package for texture curve fitting Changes in version 0.2.0 New Features - texture class for automatic determination of particle size distribution using a hydrometer in accordance with ASTM D422-63(2007)e2 Minor Improvements - updated theme_publish() - demo file added Changes in version 0.1.0 Initial Feature Set - Confidence intervals CI() - Root mean square errors rmse() - Limit of detection (LOD) lod() - Limit of quantification (LOQ) loq() - Various sorption isotherms sorption() - Convert frequency data back to raw data make.raw() - ANOVA on ranks according to Sen and Puri (also known as Scheirer-Ray-Hare-Test) puri.test() - Categorize water drop penetration times according to Bisdom et al. (1993) bisdom() - Report significant figures, i.e. round means and erros to the least significant digit, using signifig() - Clean, black-and-white ggplot2 theme for scientific publications theme_publish()