Changes in version 0.7.0.9000 Changes in version 0.7.0 (2026-05-04) - Added support for mmrm::mmrm() models. - Added support for estimatr::iv_robust() models. - Fixed bug in internal function get_data() introduced by changes in error message structure in R-devel. Changes in version 0.6.2 (2026-02-02) - Fixed bug in internal function get_cor_grouping(), which identifies the grouping variable in nlme::lme() models with correlation structures. - Fixed bug in bread.rma.mv() occurring in models with test = 'knha' (an undocumented, experimental option). - Fixed bug in linear_contrast() occurring for certain linear contrasts in models with weights that are not inverse variance. Changes in version 0.6.1 (2025-07-30) - Added support for estimatr::lm_robust() and estimatr::lm_lin() models. Changes in version 0.6.0 (2025-04-01) - Added option to Wald_test() and linear_contrast() to correct hypothesis tests for multiple comparisons. - Added option to coef_test() to specify one- or two-sided alternative hypotheses. - Added options to Wald_test() and coef_test() to specify non-zero values for null hypotheses. - Fixed a bug in methods for geepack::geeglm() models that occurred for models with nonlinear link functions. - Corrected typo in deprecation messages for impute_covariance_matrix() and pattern_covariance_matrix(). Changes in version 0.5.11 (2024-06-20) - Corrected a unit test related to the plm package, for compatibility with upcoming release of plm. - Deprecated impute_covariance_matrix() and pattern_covariance_matrix(), because they have been superseded by metafor::vcalc(). Changes in version 0.5.10 (2023-07-20) - Fixed another bug in linear_contrast() to handle specified contrasts that are scalars when variance-covariance matrix is computed with a working model that is not inverse-variance. - Fixed formatting of package version numbers in unit tests to conform to changes in packageVersion() in R-devel. Changes in version 0.5.9 (2023-07-12) - Added support for geepack::geeglm() models. - Added support for rma.ls models (location-scale models estimated using metafor::rma.uni(scale = )). - Improved error handling of Wald_test() when vcov of contrasts is not positive definite. - Fixed a bug in linear_contrast() to handle specified contrasts that are scalars. - Improved internal get_data function for gls and lme objects to allow use of expressions in addition to object names. Changes in version 0.5.8 (2022-08-15) - Added support for ivreg::ivreg objects when estimated by ordinary least squares (support for objects estimated by 2SM and 2SMM is not yet implemented). - Updated unit tests for plm::plm() when method = "FD" to account for bug fixes in version 2.6-2 of plm. Changes in version 0.5.7 (2022-06-15) - Fixed bug in methods for multi-variate multi-level models estimated with lme(). - Updated vignettes, examples, and unit tests so that the package can be compiled without any packages from SUGGESTS. Changes in version 0.5.6 (2022-04-23) - Corrected bug in methods for plm objects estimated by random effects, which occurred when a user-specified clustering variable was at a higher level than the random effects. - Added support for plm objects with nested random effects (effects = "nested"). - Added additional syntactic options for specifying clustering variable with plm objects. See ?plm. - Corrected bug in how Wald_test() labeled results when test = "Naive-Fp". Changes in version 0.5.5 (2022-01-18) - New function linear_contrast() calculates robust confidence intervals and p-values for linear contrasts of regression coefficients from a fitted model. Works with constrain_pairwise() and other constrain_*() helper functions. - Corrected precision of unit test leading to error on M1mac. Changes in version 0.5.4 (2022-01-09) New features - Wald_test() gains an option for test = "Naive-Fp", which uses denominator degrees of freedom equal to the number of clusters minus the number of coefficients in the fitted model. - coef_test() and conf_int() gain an option for test = "naive-tp", which uses denominator degrees of freedom equal to the number of clusters minus the number of coefficients in the fitted model. Minor improvements and bug fixes - Corrected a bug in the Satterthwaite degrees of freedom calculations for models that include only an intercept. - Output of coef_test() and conf_int() now include a variable containing the coefficient names, so that the results are "tidy." - conf_int() now includes an option to report a p-value for each coefficient. - coef_test() now reports degrees of freedom for test = 'z' and test = 'naive-t'. - vcovCR() now provides a more informative error message when the clustering variable is a constant. - vcovCR() now handles models estimated using analytic weights, where some weights are equal to zero. Results are consistent with omitting observations with weights of zero. - Added more informative error messages for Wald_test() and conf_int(), triggered if the test argument does not match any of the available tests. - Corrected a bug in findCluster.rma.mv(), which threw an error if a random effects factor in the rma.mv model had unobserved levels. - Corrected a bug in Wald_test(), which threw an error for tests of intercept-only models. - Fixed a minor bug in print method for Wald_test() results, which threw an error when the p-value was NA. Changes in version 0.5.3 (2021-01-23) - Removed dependency on mathjaxr Changes in version 0.5.2 (2020-11-14) - Added mathjaxr to Imports Changes in version 0.5.1 (2020-10-12) New features - New functionality for impute_covariance_matrix(): - Compute covariance matrices with AR1 correlation structure or with a combination of constant correlation and AR1 correlation structure. - Compute covariance matrices that are blocked by subgroup. - Average the variance estimates by cluster before computing covariance matrices. - New function pattern_covariance_matrix(), which creates a covariance matrix based on a specified pattern of correlations between different categories of effects. Minor improvements and bug fixes - Corrected bug in methods for rma.mv objects, which previously led to incorrect identification of clustering variables in models with multiple levels of random effects, where at least one set of random effects has inner | outer structure. Changes in version 0.5.0 (2020-09-01) New features: a major update to Wald_test() - Wald_test() now uses new helper functions constrain_zero(), constrain_equal(), and constrain_pairwise() to specify constraint matrices. - Wald_test() gains an argument tidy. When TRUE, results for a list of tests will be tidied into a single data.frame. - Output of Wald_test() now includes both numerator and denominator degrees of freedom. Minor improvements and bug fixes - Corrected bug in methods for plm objects, which occurred when "within" models included cluster-level interactions. Previously main effects of cluster-level variables were not getting dropped from model_matrix.plm(). - Corrected bugs in methods for robu objects - Corrected a bug that previously led to errors for models with only one column in the model matrix (i.e., intercept-only models). - Corrected a bug in an internal function that previously led to errors in constrain_equal() and constrain_zero() when called on robu objects. Changes in version 0.4.2 (2020-04-17) - Updated and streamlined unit tests for R 4.0.0. Changes in version 0.4.1 (2020-01-28) - Updated unit tests to satisfy obscure CRAN checks. Changes in version 0.4.0 (2019-12-18) - Added methods for lmerMod objects fitted by lme4::lmer(). - Updated internals to use inherits() instead of checking class() directly. Changes in version 0.3.5 (2019-05-14) - Added t statistics to output of coef_test(). - Fixed a bug in get_index_order(), an internal function used with plm objects. Previously, the function assumed that both individual and time indices were specified in the plm call. The new function works even when zero or one indices are specified. Changes in version 0.3.3 (2019-01-24) - impute_covariance_matrix() now drops unobserved factor levels. - updated method for handling residuals from rma.uni and rma.mv objects, for consistency with metafor 2.1-0. Changes in version 0.3.2 (2018-05-21) - Added conf_int() to provide easy cluster-robust confidence intervals. - Added examples to documentation for conf_int() and coef_test(). Changes in version 0.3.1 (2018-04-04) - Added coefs option to coef_test() to allow testing of subsets of coefficients. - Updated tests to use carData instead of car package. Changes in version 0.3.0 (2017-11-13) - Added methods for ivreg objects. - Added methods for mlm objects. - Updated residuals_CS.plm to account for changes in plm 1.6-6. Changes in version 0.2.3 (2017-08-10) New features - Added methods for glm objects. - Provide facility to cluster at higher level than highest random effects for lme and gls objects. - Added impute_covariance_matrix() utility function for multivariate meta-analysis. Minor improvements and bug fixes - Updated methods for plm objects to account for changes in plm 1.6-6. - Added documentation of type options in vcovCR(). - Added examples for all vcovCR() methods. Changes in version 0.2.2 (2016-12-01) New features - Added bread() methods for all supported model classes. - vcovCR() is now calculated using bread(), and carries attributes for bread, est_mat, and adjustment matrices. - vcovCR() gains a form argument to obtain just the meat of the sandwich, or to use a user-specified bread matrix. Minor improvements and bug fixes - Refactored internal functions for degrees of freedom calculation to improve speed and memory usage. - Bug fixes: - updated nobs.plm() method to handle first-differenced models Changes in version 0.2.1 (2016-07-23) - First version released on CRAN.