-
Added
lm_betaselect()
and related methods and helper functions. (0.0.1.1) -
Added parallel processing support to the internal function
find_all_products()
. (0.0.1.2) -
For
lav_betaselect()
, added an option to skip finding product terms. (0.0.1.2) -
Added some examples for the main functions. (0.0.1.3)
-
Added
glm_betaselect()
and related methods to support models fitted bystats::glm()
. (0.0.1.4) -
Set the column "Bs.by" to hidden by default when the output of
lav_betaselect()
is printed withoutput
set to"text"
. Can be displayed with"show_Bs.by"
set toTRUE
. (0.0.1.5) -
Updated to use
lavaan.printer
to print the output. The default format of the print out is changed to thelavaan
-style format. (0.0.1.6) -
For the
print
-method oflav_betaselect()
, symbols can be added to denote significant results by p-values or by confidence intervals. Controlled by the argumentsig_stars
andci_sig
in theprint
-method. (0.0.1.6) -
The
print
-method oflav_betaselect()
now print only the standardized solution by default (0.0.1.6) -
Added a draft vignette for
lav_betaselect()
. (0.0.1.7) -
Set the default value of
load_balancing
toFALSE
inlm_betaselect()
. Also fix the case ofprogress = FALSE
,parallel = TRUE
, andload_balancing = FALSE
. Load balancing is no longer used in this case. (0.0.1.8) -
Added
coef.lav_betaselect()
. (0.0.1.9) -
Added
confint.lav_betaselect()
. (0.0.1.10) -
Updated
summary.lm_betaselect()
to allow including the estimates before standardization. (0.0.1.11) -
Updated
print.summary.lm_betaselect()
to print confidence intervals by default, if available. (0.0.1.11) -
Fixed a bug in printing the bootstrap p-values for
summary.lm_betaselect()
. (0.0.1.13) -
Updated
summary.glm_betaselect()
to allow including the estimates before standardization. (0.0.1.13) -
Updated
print.summary.glm_betaselect()
to print confidence intervals by default, if available. (0.0.1.13) -
Added
skip_response
tolm_betaselect()
andglm_betaselect()
as a convenient way to skip standardizing the response variables. (0.0.1.15) -
Added
transform_b
tosummary.glm_betaselect()
for transforming the coefficients and their confidence limits. Intended to compute exponentiated coefficients but can be used for other purposes. (0.0.1.16) -
Removed some warnings in the methods for
lm_betaselect()
andglm_betaselect()
. Not necessary because the notes in the print method can already alert the users. (0.0.1.16) -
Updated the vignettes and the
pkgdown
site. (0.0.1.17) -
Proofread the documentation and update meta-data. (0.0.1.18)
-
Enabled more tests. (0.0.1.19)
-
Prepare for CRAN. (0.0.2.0)