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authormef <mef@pkgsrc.org>2022-05-21 15:27:28 +0000
committermef <mef@pkgsrc.org>2022-05-21 15:27:28 +0000
commit05aa33154f21ea9c205309ebd13ea94cd1551b71 (patch)
tree2e18d68992f6e74679ff489f180c249cefe57f86 /math/R-insight
parentc9f4192e489018a2495106288b9b2f3a2e6b199e (diff)
downloadpkgsrc-05aa33154f21ea9c205309ebd13ea94cd1551b71.tar.gz
(math/R-insight) Updated 0.14.4 to 0.17.1
# Insight 0.17.1 ## New supported model classes * `deltaMethod` (*car*), `marginaleffects`, `marginaleffects.summary` (*marginaleffects*) ## General * `get_predicted()` now supports models of class `iv_robust` and `ivreg`. * For `get_predicted()`, when both `type` and `predict` are given, `type` will overwrite `predict`. Note that this will print a message, because `predict` is the preferred argument. * `get_varcov()` gains `vcov` and `vcov_args` arguments, to specify the variance-covariance matrix used to compute uncertainty estimates (e.g., for robust standard errors). * `get_loglikehood()` improved handling of models from package *estimator*. ## Bug fixes * Fixed bug in `get_data()` for model objects whose data needs to be recovered from the environment, and where the data name was a reserved word (e.g., named like an R function). * The matrix returned by `get_varcov()` for models of class *bife* now returns row and column names. * `find_offset()` did not find offset-terms for `merMod` objects when the offset was specified as `offset` argument in the function call. # insight 0.17.0 ## Breaking changes * Arguments `vcov_estimation` and `vcov_type` in `get_predicted()`, `get_predicted_se()` and `get_predicted_ci()` are replaced by `vcov` and `vcov_args`, to have a more simplified and common interface to control robust covariance matrix estimation. ## General * Improved performance for various functions, in particular `get_data()` and `model_info()`. ## New functions * To check for names: `object_has_names()` and `object_has_rownames()` * To work with lists: `is_empty_object()` and `compact_list()` * To work with strings: `compact_character()` * Further utility functions are `safe_deparse()`, `trim_ws()` and `n_unique()`. ## Changes to functions * `export_table()` now better checks for invalid values of caption and footer for tables in HTML format, and silently removes, e.g., ansi-colour codes that only work for text-format. * `get_data.coxph()` returns the original data frame instead of data with type coercion. * `get_loglikelihood()` gets a `check_response` argument, to check if a model has a transformed response variable (like `log()` or `sqrt()` transformation), and if so, returns a corrected log-likelihood. * `get_modelmatrix()` now supports *BayesFactor* models. * `get_loglikelihood()` and `get_df()` now support more model classes. * `get_predicted()` was improved for multinomial models from *brms*. * `get_variance()` was improved to cover more edge cases of (more complex) random effect structures. * `get_data()` now includes variables in the returned data frame that were used in the `subset` argument of regression functions (like `lm()`). * In some edge cases, where `get_data()` is unable to retrieve the data that was used to fit the model, now a more informative error is printed. * `ellipses_info()` now also accepts a list of model objects, is more stable and returns more information about the provided models (like if all fixed or random effects are the same across models, if all models are mixed models or null-models, etc.) * `check_if_installed()` now works interactively and lets the user prompt whether to automatically update or install packages. ## Bug fixes * Fixed incorrect column name conversion in `standardize_names()` for certain columns returned by `broom::glance()`. * Fixed issue with correctly detecting Tweedie-models in `model_info()`. * Fixed issue with `get_datagrid()` for *brms* models with monotonic factors. * Fixed issue in `find_formula()` when argument `correlation` was defined outside of `lme()` and `gls()` (@etiennebacher, #525). * Fixed issue with `get_data()` when back-transforming data from predictors that used `cos()`, `sin()` or `tan()` transformations. # insight 0.16.0 ## New functions * `get_datagrid()`, to generate a reference grid, usually used when computing adjusted predictions or marginal means from regression models. ## Changes to functions ### `get_predicted()` * `get_predicted()` was revised. Beside the four core options for the `predict` argument, it is now also possible to use any value that is valid for the model's `predict()` method's `type` argument. * `get_predicted()` now supports more models (e.g., from packages like _GLMMadaptive_ or _survival_). * `get_predicted()` is now more robust when calculating standard errors of predictions. ### Other functions * `get_statistic()` and `find_statistic()` now support *htest* objects. ## General * Various minor improvements. # insight 0.15.1 ## General * Improved speed performance, especially for `get_data()`. ## Changes to functions * `get_data()` for `coxph` models now returns the original factor levels for variables transformed with `strata()` inside formulas. # insight 0.15.0 ## Breaking changes * Data management functions (like `reshape_longer()`, or `data_match()`) have been moved to the *datawizard* package. * `get_data()` no longer returns factor types for numeric variables that have been converted to factors on-the-fly within formulas (like `y ~ as.factor(x)`). Instead, for each numeric variable that was coerced to factor within a formula gets a `factor` attribute (set to `TRUE`), and the returned data frame gets a `factors` attribute including all names of affected variables. ## New supported model classes * Support for `bfsl` (*bfsl*) ## New functions * New `standardize_column_order()` function can be used to standardize the column order in output dataframes. ## General * Improved speed performance for some functions. * Improved handling of table captions and footers in `export_table()`. See also the new vignette on exporting data frames into human readable tables here: https://easystats.github.io/insight/articles/export.html * Revised `width` argument in `export_table()`, which now allows to set different column widths across table columns. See examples in `?export_table`. * `export_table()` gets a `table_width` argument to split wide tables into two parts. * `get_varcov()` for `MixMod` (package *GLMMadaptive*) was revised, and now allows to return a robust variance-covariance matrix. * Added more `get_df()` methods. ## Bug fixes * Fixed issues with manual sigma computation to handle dispersion models in `get_sigma()`. * Fixed issue in `find_formula()` for `BayesFactor::lmBF()` with multiple random effects. * Fixed issue in `get_parameters.BFBayesFactor()` with wrong sign of difference estimate for t-tests. * Argument `width` in `format_value()` was ignored when formatting integer values and `protect_integers` was set to `TRUE`. # insight 0.14.5 ## New functions * `find_transformation()` and `get_transformation()` to find or get any function that was used to transform the response variable in a regression model. ## General * Improved support for models of class `sampleSelection`. * Improved documentation. * `get_modelmatrix()` now supports: `rms::lrm` * `get_predicted()` supports: `MASS::polr`, `MASS::rlm`, `rms::lrm`, `fixest`, `bife::bife`, `ordinal::clm`. * `get_predicted()` standard errors are often much faster to compute. * `get_predicted()` supports models with "grouped" or "level" outcomes (e.g., multinomial logit). * `get_predicted()` handles factors better. * Improved documentation ## Changes to functions * `check_if_installed()` gains a `quietly` argument, if neither stopping nor a warning message for non-installed packages is requested. * `get_predicted()`'s `predict` argument now accepts these values: "link", "expectation", "prediction", "classification", or NULL. * `get_predicted()` accepts `predict=NULL`, which allows users to push a `type` argument through the `...` ellipsis, forward to the `predict()` method of the modelling package. ## Bug fixes * Fixed issue with parameter names from *emmeans* objects in `get_parameters()`. * Fixed issues with unknown arguments in `get_predicted()`.
Diffstat (limited to 'math/R-insight')
-rw-r--r--math/R-insight/Makefile26
-rw-r--r--math/R-insight/distinfo8
2 files changed, 18 insertions, 16 deletions
diff --git a/math/R-insight/Makefile b/math/R-insight/Makefile
index 86a0c0f7c08..15121b7e3e3 100644
--- a/math/R-insight/Makefile
+++ b/math/R-insight/Makefile
@@ -1,23 +1,25 @@
-# $NetBSD: Makefile,v 1.1 2021/09/20 02:48:37 mef Exp $
+# $NetBSD: Makefile,v 1.2 2022/05/21 15:27:28 mef Exp $
R_PKGNAME= insight
-R_PKGVER= 0.14.4
+R_PKGVER= 0.17.1
MAINTAINER= pkgsrc-users@NetBSD.org
COMMENT= Easy Access to Model Information for Various Model Objects
LICENSE= gnu-gpl-v3
# Packages suggested but not available:
-# 'AER', 'afex', 'aod', 'BayesFactor', 'bayestestR', 'bdsmatrix',
-# 'betareg', 'biglm', 'blavaan', 'blme', 'brms', 'censReg', 'cgam',
-# 'clubSandwich', 'coxme', 'cplm', 'crch', 'effectsize', 'emmeans',
-# 'epiR', 'estimatr', 'feisr', 'fixest', 'fungible', 'gam', 'gamlss',
-# 'gamm4', 'gbm', 'gee', 'geepack', 'GLMMadaptive', 'glmmTMB', 'gmnl',
-# 'gt', 'ivreg', 'JM', 'lavaan', 'lfe', 'logistf', 'mclust',
-# 'MCMCglmm', 'merTools', 'metaBMA', 'mice', 'mlogit', 'multgee',
-# 'nonnest2', 'ordinal', 'panelr', 'parameters', 'parsnip',
-# 'performance', 'plm', 'pscl', 'rms', 'robustlmm', 'rstanarm',
-# 'rstantools', 'speedglm', 'tripack', 'truncreg'
+# 'AER', 'afex', 'aod', 'BayesFactor', 'bayestestR', 'betareg', 'bife',
+# 'biglm', 'blavaan', 'blme', 'brms', 'censReg', 'cgam',
+# 'clubSandwich', 'coxme', 'cplm', 'crch', 'datawizard', 'effectsize',
+# 'emmeans', 'epiR', 'estimatr', 'feisr', 'fixest', 'fungible', 'gam',
+# 'gamlss', 'gamm4', 'gbm', 'gee', 'geepack', 'GLMMadaptive',
+# 'glmmTMB', 'gmnl', 'gt', 'ivreg', 'JM', 'lavaan', 'lfe', 'lmerTest',
+# 'logistf', 'marginaleffects', 'mclust', 'MCMCglmm', 'merTools',
+# 'metaBMA', 'mice', 'mlogit', 'mhurdle', 'multgee', 'nonnest2',
+# 'ordinal', 'panelr', 'parameters', 'parsnip', 'pbkrtest',
+# 'performance', 'plm', 'poorman', 'pscl', 'rms', 'robustlmm',
+# 'rstanarm', 'rstantools', 'speedglm', 'tripack', 'truncreg',
+# 'tweedie'
TEST_DEPENDS+= R-VGAM-[0-9]*:../../math/R-VGAM
diff --git a/math/R-insight/distinfo b/math/R-insight/distinfo
index 15bb8b40147..5312d1ebfa8 100644
--- a/math/R-insight/distinfo
+++ b/math/R-insight/distinfo
@@ -1,5 +1,5 @@
-$NetBSD: distinfo,v 1.3 2021/10/26 10:55:28 nia Exp $
+$NetBSD: distinfo,v 1.4 2022/05/21 15:27:28 mef Exp $
-BLAKE2s (R/insight_0.14.4.tar.gz) = db98fdc0fd6399021f598976054256ca89bdfa7ce2034c765ba5a7896f647ab5
-SHA512 (R/insight_0.14.4.tar.gz) = 1ab27e6d96ef557df5c20aff8e737e9f82a81bfb0088a785b7f51185fe9325b574a3bb06e26b77507b97dd4a400a44982a52ca20ac752ebc81c5df618a82355f
-Size (R/insight_0.14.4.tar.gz) = 841657 bytes
+BLAKE2s (R/insight_0.17.1.tar.gz) = c2f481d336101c002e26a4f8b9b416ea6f630ce9091c1214fbfbfb26d7ebed5f
+SHA512 (R/insight_0.17.1.tar.gz) = 1d0998a7094c5aae1087b4f843b57515e80f4f57b15ba8c420e66939ed5dfd8274f520c69fc2e47c70a949d1347c880de2c9605b98a80e22925db212c33bbccb
+Size (R/insight_0.17.1.tar.gz) = 863795 bytes