NEWS.md
Improved support for models of class sampleSelection
.
Improved documentation.
check_if_installed()
gains a quietly
argument, if neither stopping nor a warning message for non-installed packages is requested.Fixed issue with parameter names from emmeans objects in get_parameters()
.
Fixed issues with unknown arguments in get_predicted()
.
systemfit
(systemfit)get_predicted()
gains a new option, predict = "response"
for binomial models.
Improved stability of get_variance()
when computing random-slope-intercept correlation with categorical random slopes.
Improved get_priors()
for brms models.
Fixed issue in get_data()
for brms models with auxiliary parameters.
Fixed issue in find_formula()
for brms models with auxiliary parameters.
Fixed issue where get_data()
for htest objects did not always preserve factors.
Fixed issue in format_table()
for ci-levels with longer fractional part.
check_if_installed()
gains a minimum_version
argument, to check if an installed package is not older than the specified version number.
The package
argument in check_if_installed()
is now vectorized, so you can check for multiple packages in one function call.
Value formatting functions (like format_value()
or format_ci()
) can now round to significant digits using digits = "signif"
.
Fixed issue in model_info()
with stan_polr()
models.
Fixed issue in find_parameters()
for brms when model contained parameters for the priors on sigma.
Fixed issue in n_obs()
for stats4::mle()
models.
Fixed failing tests due to latest fixest update.
Fixed issues due to latest epiR update.
data_to_long()
, data_match()
, data_relocate()
, data_restoretype()
, force_numeric()
.pgmm
(plm)Stability improvements to get_predicted()
.
Fixed issues when accessing information from an afex_aov
model with an empty aov
slot (in anticipation for afex v.1.0.0).
Fixed issue in model_info()
for stanreg object with non-standard model-family specification.
get_sigma()
and get_auxiliary()
, as well as get_parameters(component = "all")
) for brmsfit
models.get_modelmatrix()
as a robust alternative to model.matrix()
for different model classes.
format_message()
to format warnings and messages by adjusting the maximum line_length, possibly to the width of the console window.
format_string()
to shorten a string to a maximum length.
check_if_installed()
to see if the needed package is installed.
mvord
(mvord), SemiParBIV
(GJRM), selection
(sampleSelection)find_formula()
now warns when data name is present in formula, since this can result in unexpected behaviour in other package functions.
model_info()
returns is_bernoulli = TRUE
for Bernoulli models.
Add get_statistic()
for lavaan models.
get_df()
supports more models/objects.
get_sigma()
supports more models/objects.
get_sigma()
and get_deviance()
for lrm
models (package rms) now only return one value, sigma or deviance for the model with intercept and predictors.
get_deviance()
now works for glmerMod
, MixMod
and glmmTMB
models.
The behaviour and documentation of the effects
and component
arguments, in particular for brmsfit
models, were revised to be more consistent.
export_table()
now correctly prints the footer if the input was a list of data frames.
Fixed issue (warning) in get_loglikelihood()
for binomial models with non-numeric response variables.
find_statistic()
correctly distinguishes t- and z-statistic for emmGrid objects.
Fixed issue in model_info()
for BGGM
and mgcv::gam()
.
Fixed issue in find_formula()
for gamlss
models with random()
function in formula.
Fixed issue with find_parameters()
for brmsfit models when auxiliary parameters are directly modelled.
Fixed issue with get_parameters()
and find_parameters()
for multi-group blavaan models.
Fixed issue in ellipsis_info()
when detecting nested models with poly-terms.
Fixed issue in find_response()
for brmsfit models that used the resp_thres()
function in the model formula.
Fixed issue in get_predicted_ci()
for models with rank-deficient model matrix.
Argument zap_small
in format_value()
did not work properly over vectorized vectors.
get_predicted()
has be revamped with a new API and a stable output form (a vector). In the course of this revision, a new function get_predicted_ci()
to calculate uncertainty intervals for model predictions.
Improved support for orm
(rms).
svy_vglm
(svyVGAM), mjoint
(joineRML), mhurdle
(mhurdle), sarlm
(spatialreg), model_fit
(tidymodels)is_gam_model()
as a small helper to check if a model is a generalized additive model with smooth terms.Added iterations
argument to get_predicted()
to control the number of draws returned for Bayesian models.
model_info()
now returns $is_gam
if model is generalized additive model with smooth terms.
format_table()
and export_table()
now check for valid input (e.g., non-empty data frame) and give an informative message.
Improved support for MixMod
(GLMMadaptive) in get_variance()
.
Improved print_parameters()
, to allow more flexibility and better cope with different output formats.
get_parameters()
, find_parameters()
and clean_parameters()
for emmGrid and emm_list objects were revised and now better match the actual parameter names (also for contrasts).
Fixed issue in get_variance()
for models without intercept.
Fixed labelling issue in get_parameters()
and clean_parameters()
for blavaan
models.
clean_parameters()
for MCMCglmm objects did not include random parameters.
Fixed minor issue with unintended sub-titles for print_html()
.
Fixed issue in get_prior()
for rstanarm::R2()
priors.
elm
, eglm
(eflm)get_residuals(..., weighted = TRUE)
doesn’t throw warnings if weights are 1 (no weights specified).
n_parameters()
gains a only_estimable
argument, to remove non-estimable parameters from counting the number of parameters for models with rank-deficient model matrix.
format_ci()
also gains a zap_small
argument.
Fix or disable failing tests on Mac OS.
Fixed issues in get_variance()
with non-correlated random-slope-intercepts for lme4 models.
crr
(cmprsk), ergm
(ergm), btergm
(btergm), Rchoice
(Rchoice), garch
(tseries)Slightly improved handling of different CI-columns in format_table()
.
model_info()
now returns $is_leventest
if model is an object returned by car::leveneTest()
.
get_parameters()
supports htest
objects.
get_varcov()
did not properly remove NA
from rank-deficient models.
Fixed issue/warning in get_data()
for some htest objects, where the environment was not properly evaluated.
Fixed issue in format_table()
with p-value formatting, when input data frame contained a column named "p"
, which was not numeric.
(Hopefully) fixed issue with failing CRAN checks.
format_table()
is an alias for parameters_table()
, and is no longer referring to export_table()
.coxr
(coxrobust), coeftest
(lmtest), ivFixed
(ivFixed), ivprobit
(ivprobit), riskRegression
(riskRegression). summary.lm
, lmodel2
(lmodel2), improved support for bamlss
(bamlss).Added get_deviance()
function that returns the model deviance as a robust alternative to stats::deviance()
.
Added model_name()
function that returns the model’s “name”.
Added format()
method for find_formula()
output to flatten it.
Added null_as_ones = TRUE
argument to get_weights()
to return vector of 1s instead of NULL
.
Added get_intercept()
as a helper function to easily retrieve the value at the intercept.
Added get_df()
as a robust alternative to stats::df.residuals()
.
Added get_predicted()
as a robust alternative to stats::fitted()
.
Added get_loglikelihood()
(and its alias loglikelihood()
) function as a robust alternative to stats::logLik()
.
Added get_residuals()
as a robust alternative extract model residuals.
Added ellipsis_info()
to specify the nature of ellipsis (...
) inputs.
Added is_nested_models()
to check if multiple regression models are nested (decreasing or increasing).
Added generic print_html()
, to allow other packages to create tables in HTML format (via export_table()
) when not printing the output to console.
Added is_mixed_model()
, to safely check if a model is a mixed effects model. This function also works for multivariate response models.
n_parameters()
was moved from parameters to insight.
find_formula()
, find_predictor()
, find_random()
and related functions now also return names of random effects from generalized additive mixed models (gamm
, gamm4
, stan_gamm4
).
Added support for more BFBayesFactor objects.
model_info()
now returns $is_xtab
for chisq.test()
and BayesFactor::contingencyTableBF()
. Furthermore, the $family
element for those objects is set to "categorical"
.
n_obs()
now handles number of observations from models with binomial family correctly when these have matrix-columns as response variable.
Fixed issue in find_statistic()
for fixest models, which did not return the correct value "t-statistic"
for feols()
.
Fixes inconsistencies in get_priors()
for (linear) BFBayesFactor
models.
print_color()
now use warning()
, to better suppress warning messages if required.find_smooth()
, to return in particular smooth terms used in a model.get_variance()
and get_variance_random()
gain a tolerance
-argument, to set the tolerance level for singularity checks when computing random effect variances.
parameters_table()
formats more objects from the easystats packages, like ROPE-range or p_rope()
.
find_statistic()
now supports models of class scam.
get_data()
now also supports htest
-object, where possible.
Fix CRAN check issues.
find_formula()
for stan_gamm4()
now correctly includes random effects.
model_info()
now also detects models from oneway.test()
, binom.test()
chisq.test()
, mcnemar.test()
and prop.test()
. Furthermore, model_info()
better deals with objects from BFBayesFactor
, and censored regression models no longer return TRUE
for $is_linear
.
format_table()
is going to be renamed in a future update. Please use its alias export_table()
.
scam
(scam), meta_random
and meta_fixed
(metaBMA), Glm
(rms), ridgelm
(MASS), mediate
(mediation). Partial support for mcmc.list
(e.g. bayesGARCH)parameters_table()
, which was moved from package parameters to insight. Note that this function is going to be renamed into format_table()
in a future update.
find_offset()
, to find the name of offset-terms.
Added generics for display()
and print_md()
, to allow other packages to create tables in other formats when not printing the output to console.
standardize_names()
tries to be as loyal to the broom-naming conventions as possible.
The function of the brackets
-argument in format_ci()
was changed. It is now also possible to provide a length-two character vector, to define own brackets that encompass the CI-values.
Related to the change in format_ci()
, the function of the brackets
-argument in parameters_table()
was changed accordingly. Furthermore, parameters_table()
gains a preserve_attributes
-argument, to preserve any attributes from the input data frame.
export_table()
gains several new arguments that allows to create tables in markdown-format.
print_parameters()
gains a keep_parameter_column
-argument, to keep (default) both the "Cleaned_Parameter"
and "Parameter"
columns, or - if FALSE
- use "Cleaned_Parameter"
as new "Parameter"
column.
get_data()
Fixed issue in get_data()
for MixMod
objects, which were caused due to internal changes in GLMMadaptive.
get_data()
for zero-inflated models from pscl did not include the offset-term in cases where the offset was defined as argument, not inside the model formula.
Fixed issue in get_data()
for coxph
models with survival-objects with event
-argument as response.
Fixed edge case in get_data()
for column name of response values that were log-transformed using log(x+1)
.
Fixed issue with survreg
models that included strata()
in their formula.
Fixed warning in CRAN checks for forthcoming R-devel.
get_sigma()
to return the residual standard deviation.
standardize_names()
, which was moved from package parameters to insight.
maov
(stats), HLfit
(spaMM), preliminary support for margins
(margins), merModList
(merTools).Better support for (weighted) multivariate response models of class mlm
for functions like get_varcov()
or clean_parameters()
.
Make find_formula()
work with t-tests from BayesFactor.
Improved handling for mira objects.
format_bf()
gains a na_reference
argument, to set the “reference” for Bayes factor values that are NA
, and an exact
argument for returning scientific formatted extreme values.
format_value()
gains a zap_small
argument, to prevent scientific printing of numbers if these have more decimal places than indicated by digits
.
get_weights()
now also returns NULL
when all weights were 1.
get_parameters()
for BFBayesFactor objects gets a verbose
argument.
get_parameters()
for emmGrid and emm_list objects gets a summary
argument, to either return the full posterior samples or the summarized centrality indices for Bayesian models.
find_formula()
for MuMIn::model.avg()
now tries to retrieve the random effects part of a formula, when present.
get_weights()
gains a na_rm
argument to remove possible missing values.
Fix issues with one-sample Bayesian t-tests ( https://github.com/easystats/parameters/issues/297 ).
Fix issue in format_value()
that printed "100%"
as "1e+02%"
.
Removed unnecessary white-spaces in format_ci()
when upper or lower interval was larger than 1e+5.
has_intercept()
did not work correctly when intercept was removed from formula using -1
.
find_terms()
now shows removal of intercept formula using -1
as term "-1"
.
Fix issues with get_statistic()
for vgam models.
get_data()
now works for models from afex_aov()
.
get_parameters()
returns a more informative message for BFBayesFactor
objects when not the first model is indexed.
clean_names()
now also removes exp()
-pattern.
clean_names()
for character-objects now works with “interaction patterns” (like clean_names("scale(a):scale(b)")
).
format_bf()
gains a protect_ratio
argument, to print numbers smaller than 1 as ratios.
Fix issues in CRAN checks.
get_priors()
now works for more complex BFBayesFactor
objects that have multiple custom priors.
get_data()
did not always “back-transform” log-transformed or scaled variables to return the original values. Now this bug has been fixed, and get_data()
should return all variables on the original scale (as if these variables were not transformed), as stated in the docs.get_data()
now returns the correct original data for “empty” polynomials (i.e. poly(x, 1)
).
Fix CRAN check issues due to latest estimatr update.
mipo
(mice), lqmm
and lqm
(lqmm). Preliminary support for semLME
(smicd), mle
(stats4) and mle2
(bbmle).model_info()
returns $is_meta = TRUE
for brms-meta-analysis models.
Make find_statistic()
work with mgcv::bam()
.
get_variance()
now also support truncated_nbinom2()
family from glmmTMB.
Fixed issue with correctly detecting sigma-parameters in find_parameters()
for multiple-response brmsfit
-models.
Fixed issue with find_formula()
for models from stan_nlmer()
.
Fixed issues with find_terms()
when response variable included a namespace, like survival::Surv()
.
Fixed issues with get_priors()
for stanreg models, probably caused by the latest update to rstanarm 2.21.2.
Fixed issues in get_variance()
for brmsfit models.
Fixed some issues around crq
objects (package quantreg).
BGGM
(BGGM), metaplus
(metaplus), glht
(multcomp), glmm
(glmm), improved support for manova
(stats)format_bf()
, format_pd()
, format_p()
, format_rope()
and format_number()
were moved from package parameters to insight.get_variance()
now also returns the correlation among random slopes.
get_variance()
now also (partially) supports brmsfit
models.
get_parameters()
for models that return (posterior or simulated) samples of model parameters gains a summary
-argument, which - if TRUE
- returns a point-estimate (mean of samples) instead of the full samples.
format_p()
returns "> .999"
for p-values equal to or greater than 0.999.
Fixed issue in find_formula()
that did not properly work for models with random effects in formula (in lme4 notation), when random effects were in between fixed effects parts.
get_variance()
did not return variance components for random effects for null-models with random slopes.
Fixed issue with get_variance()
for lme
-models with categorical random slope.
Fixed issue that occurred since R 4.0.0 in find_weights()
when function call had no weights
-argument.
Fixed issue in get_data()
for models with cbind()
-response variables and matrix-like variables in the model frame (e.g. when using poly()
).
Fixed issues with PROreg::BBmm()
, due to changes in latest package update.