Changes in version 2.0.3.9000 This is a development version Changes in version 2.0.3 (2024-01-15) - Small documentation fixes for the breaking change: Using @docType package no longer automatically adds a -package alias. Instead document _PACKAGE to get all the defaults for package documentation. - Documentation fix for unused arguments in b_samp and betaBlock - Update JSS hyperlinks Changes in version 2.0.2 (2021-08-06) Bug fixes - Made sure that formulae for SAM, AS and bc correspond to those in Cremers, Mulder & Klugkist (2018). Circular interpretation of regression coefficients. In previous versions of the package there was an error in the computation of SAM, AS and bc causing erroneous results. - Corrected c++ code of mcmc sampler for intercept-only circular mixed effects model to solve error warning in v.2.0.0 and v.2.0.1. - Corrected incorrect computation of model fit estimates for circular mixed effects models in v.2.0.0 and v.2.0.1. - Made sure that the chosen lag is displayed correctly in the output. Changes in version 2.0.1 (2021-03-23) Bug fixes - Removed MASS from imports to fix note in the 2.0.0 version - Changes in c++ code to solve errors from CRAN valgrind checks in the 2.0.0 version. - Changed arma::inv_sympd to arma::inv in c++ code to solve errors on macOS in the 2.0.0 version. Changes in version 2.0.0 (2021-03-02) Major changes - Changed the names of the mcmc output objects. B1, B2, Beta.I, Beta.II, B.I, B.II, VCov.I and VCov.II are now named beta1, beta2, beta1, beta2, b1, b2, omega1 and omega2 respectively. - Functions predict() and residual() were removed. - MCMC sampler underlying the bpnme function is rewritten in c++. This should significantly increase computational speed. - Increased memory efficiency by not storing intermediate objects in memory. - A vignette containing answers to frequently asked questions about usage of the package is included. Bug fixes - Adapted documentation bpnme function such that it clearly states only one grouping factor can be used. - Made sure that the circular random intercept variance (and circular random slope variance of categorical predictors) is computed as 1 - mean resultant length. Also updated documentation accordingly. - Results for bc, AS and SAM are now also included in degrees if units = "degrees" in circ_coef function - An error warning in case of any missing values was included. - The WAIC criterion in the model fit estimates obtained from the fit() function is more correctly referred to as WAIC1. - Format of cRS object stored in a bpnme fit object was changed from matrix to data.frame to accommodate for data of more than two types, e.g. character and numeric. Changes in version 1.0.3 (2020-02-04) - Deleted arguments from function documentation that are not in \usage. - Updated references in the packages description. Changes in version 1.0.2 (2019-12-08) - This version contains an update of code containing the class function to make sure the package works with R version 4.0.0 - The check for the range of the circular outcome was corrected. Changes in version 1.0.1 (2019-11-05) - The function bpnme can now also handle the standard R data.frame instead of only Data Frame Tbl (from dplyr, tbl_df(data)) - The function coef.bpnr now correctly returns radians instead of degrees when option units == "radians" is chosen. - The documentation now states that the circular outcome needs to be measured in radians. - The references in the documentation have been updated. - The functions mmr and mmme now give out a warning message when the circular outcome is out of range. - An error in the assignment of column names in the random effect model matrix (in mmme function) was fixed. - An error in the check for whether random effects are numeric (in bpnme function) was fixed. - Several checks and error warnings for wrong specifications of nesting structure were added. - Internal functions were taken out of the package documentation on CRAN. - The priors for the (fixed effect) regression coefficients in the regression and mixed-effects model are now both N(0, 10000), We also note this in the documentation of bpnr() and bpnme(). - We note the fact that the mixed-effects model is only developed for models with one nesting variable in the documentation. Changes in version 1.0.0 (2018-02-27) - This is the first version of the package.