rempsyc 0.1.8
rempsyc 0.1.7.8
nice_t_test
: add temporary workaround for paired
t-tests failing (#28)
rempsyc 0.1.7.7
nice_table()
gains a new argument: spacing
(defaults to double space = 2, but can be set to 1 for single
spacing)
rempsyc 0.1.7.6
nice_lm()
fix a bug with nice_lm()
which
doesn’t work with lm models containing a single term (#27)
rempsyc 0.1.7.5
nice_table()
loses its nice_table
class
because of a name collision with the printing method of the
afex
package for nice_table
objects (produced
with afex::nice
, #26)
rempsyc 0.1.7.4
plot_means_over_time()
:
- Now supports more than 5 groups (but shapes are not consistent after
that)
- Gains the
groups.order
argument, like
nice_scatter()
, to organize group factor levels in
increasing or decreasing order.
rempsyc 0.1.7.3
plot_means_over_time()
:
- error bar colours changed from black to group colour to ease the
visual distinction of a manual addition of vertical comparison
significance bars.
- New arguments to include significance bars and stars:
significance_bars_x
, significance_stars
,
significance_stars_x
,
significance_stars_y
rempsyc 0.1.7.2
- New function:
grouped_bar_chart()
, to plot categorical
data options over several groups.
rempsyc 0.1.7.1
- New function:
plot_means_over_time()
, to plot group
(intervention) data over time (1, 2, 3).
rempsyc 0.1.7
rempsyc 0.1.6.2
nice_table
:
- now converts sigma to its unicode counterpart (“3C3”)
- “z” and “Z” are now formatted to two digits instead of zero digits
to comply with the Wald Z statistics in SEM (with
lavaan
and lavaanExtra
)
- now supports conversion of “CI_lower_B” and “CI_upper_B” columns to
“95% CI (b*)“.
nice_t_test
: argument warning becomes
verbose
to align with other packages.
rempsyc 0.1.6.1
- Breaking news: APA 7th edition actually advises against using beta
to represent standardized coefficients, but suggests instead to use a
lowercase italic b followed by an asterisk: b*.
rempsyc
will follow this APA recommendation going
forward.
rempsyc 0.1.6
rempsyc 0.1.5.2
nice_varplot
: removed redundant legend
rempsyc 0.1.5.1
nice_slopes
and nice_mod
:
- Corrected bug when the
data
argument contained
character variables when checking whether variables were
standardized.
rempsyc 0.1.5
rempsyc 0.1.4.1
nice_table
:
- Now automatically attempts to convert objects (e.g.,
emmGrid
) to a dataframe so save users some headache.
- Now automatically converts column name “t.ratio” to “t”.
get_dep_version
: various improvements, now more
robust
rempsyc 0.1.4
rempsyc 0.1.3.5
nice_table
: fix bug when providing a table of more than
one report::report
object made from Wilcoxon tests.
rempsyc 0.1.3.4
nice_lm_contrasts
and nice_contrasts
: Code
simplified and now supports more than 3 groups, through easystats’
modelbased
package.
rempsyc 0.1.3.3
nice_assumptions
: p values from
shapiro.test()
are defined only for vectors of length
between 3 and 5000 and was thus throwing an error in these cases.
nice_assumptions
now checks for the sample size and returns
NA
for samples outside this range (#17, @sjewo).
rempsyc 0.1.3.2
- New functions:
install_if_not_installed
: will only install specified
packages if they are not installed.
get_dep_version
: checks the required version of a
specific package dependency by looking at the specified package’s
DESCRIPTION file directly.
best_duplicate
: now supports the keep.rows
argument, to add a column containing the original rows.
overlap_circle
: now support two other scoring methods:
“percentage” (1 to 100), and “direct” (must provide the three values
from circle 1, overlapping area, and circle 2).
rempsyc 0.1.3.1
- Added tests for all functions
- Accordingly, updated code to stop using deprecated functions from
other packages (
dplyr
and ggplot2
).
rempsyc 0.1.3
rempsyc 0.1.2.5
- Fixed bug with
check_installed
where required package
version were not being specified correctly.
- A way to install all dependencies at once are now provided in the
README file.
- Contribution Guidelines are now available.
rempsyc 0.1.2.4
nice_scatter
: groups.order
now also allows
automatic grouping based on value for the response variable (one of the
desired levels, “increasing”, “decreasing”, or “string.length”), for
consistency with nice_violin
.
nice_violin
: order.groups
argument renames
to groups.order
for consistency with
nice_scatter
.
rempsyc 0.1.2.3
nice_scatter
:
- fix bug whereas the group legend was lost even when using
has.legend = TRUE
.
has.legend
now defaults to TRUE
when using
the group
argument.
- New argument
method
, with choices "lm"
(default) or "loess"
.
rempsyc 0.1.2.2
nice_violin
:
- For argument
obs
, there are two new choices:
"dotplot"
(same as obs = TRUE
for backward
compatibility) and "jitter"
, useful when there are a lot of
observations.
- Add new argument
order.groups
, to order the group
factor levels based on value of the “response” variable, or on the
string lengths for the group names (factor levels). Defaults to “none”
to avoid changing previous behaviour.
- Add new argument
xlabels.angle
, to tilt the labels of
the x-axis (useful when working with long string names).
rempsyc 0.1.2.1
nice_table
: Correct beta rounding.
rempsyc 0.1.2
- CRAN resubmission
nice_table
: Readd leading zero for beta.
rempsyc 0.1.1.9
nice_table
:
- Now capitalize fit indices for a better integration with package
{lavaanExtra}.
- Simplification of internal coding and column formatting, e.g.,
columns names close equivalents, such as
"pvalue"
and
"p.value"
, are now automatically converted to
"p"
(similar for others such as "chisq"
to
"chi2"
, conf.low
and CI_low
to
CI_lower
, etc.), for proper formatting.
rempsyc 0.1.1.8
nice_table
: It was requested that the leading zero be
omitted for beta values (since it rarely goes beyond 1), so that is now
the case (although note that in some edge cases it can go beyond 1, but
that may indicate other problems with the model, such as high
multicollinearity).
rempsyc 0.1.1.7
format_r
: will now convert NA values to “” instead of
“NA”; this is useful when using the col.format.r
argument
in nice_table
for correlation matrices.
nice_table
: CFI, TLI, RMSEA, and SRMR now omit the
leading zero as they usually cannot be greater than one.
rempsyc 0.1.1.6
- Fix bug when checking column names (all functions).
- Fix bug in
nice_violin
to accept NULL group argument
again (similar to problem corrected in version 0.1.1.4). Also changed
the order of argument, with response
second, and
group
third, since group becomes optional (as consistent
with other similar functions).
- Fix a bug in
citation("rempsyc")
.
rempsyc 0.1.1.5
nice_lm
and nice_lm_slopes
: better error
messages if the wrong object type is provided.
rempsyc 0.1.1.4
- Fix a newly introduced bug whereas
nice_normality
,
nice_density
, and nice_qq
would not work
without a group argument.
rempsyc 0.1.1.3
nice_table
and format_p
: Now support the
logical stars
argument to add significance stars (defaults
to TRUE
for nice_table
but FALSE
for format_p
).
rempsyc 0.1.1.2
nice_table
: It was pointed out that, in order to align
with APA rules regarding tables, the first column should not be
centered, but left-aligned. This has been corrected.
nice_lm
and nice_lm_slopes
: Now attempt to
automatically detect whether the variables were standardized, and if so,
sets b.label = "B"
automatically.
nice_lm
, nice_lm_slopes
,
nice_mod
and nice_slopes
: argument
b.label
becomes deprecated in favour of the new
standardize
argument, which defaults to FALSE
for the first two (as this is most likely the desired result) and
TRUE
for the last two (because models are probably already
specified as desired, so we do not want to refit them unless
required).
rempsyc 0.1.1.1
- Now produces clearer error messages when specifying columns that
don’t exist, across all functions.
sr2
function is now removed.
rempsyc 0.1.1
rempsyc 0.1.0.9
nice_assumptions
: now supports list objects, and does
not print the interpretation message anymore since it is available from
the documentation.
nice_var
: now supports list objects.
rempsyc 0.1.0.8
nice_violin
and nice_contrasts
: Now
correctly handle missing values.
- New function!
nice_lm_contrasts
, to handle more complex
contrast models involving e.g., interactions between variables (similar
to nice_contrasts
).
rempsyc 0.1.0.7
nice_table
:
footnote
argument is renamed to simply
note
since this is what it is called in APA table
language.
- Fixed a bug whereas the
note
/footnote
added an extra empty invisible row at the end.
- Reduced cyclomatic complexity internally (swapped
if
statements for functions) dramatically (from 85 to 2).
nice_contrasts
- Default effect size changed to regular Cohen’s d, and the
robust Cohen’s d (and other effects) can now be specified with
the
effect.type
argument.
rempsyc 0.1.0.6
- Following
easystats
’s policy of minimal reliance on
external dependencies, we attempt to once again change a few more
packages from hard to soft dependencies: flextable
,
effectsize
, performance
, insight
,
and methods
. So we are left only with the basic blocks for
coding: dplyr
and rlang
. For
flextable
, this is a breaking change for saving tables,
since we now need to specify flextable::save_as_docx
.
However, this change makes sense because (1) we used
flextable
for only one function, (2) some users rely on
rempsyc
for plots and don’t use tables, (3) this is
consistent with how we are saving ggplot2
plots already,
and (4) it also gives credit to the flextable
package, as
this is the powerhouse that produces the tables under the hood.
nice_violin
now provides more informative error
messages if the response or group variables are misspelled.
rempsyc 0.1.0.5
nice_lm
, nice_mod
,
nice_lm_slopes
, and nice_slopes
now use
“two.sided” as alternative for the sr2 effect size confidence interval,
to facilitate interpretation and in accordance with current norms in
psychology.
rempsyc 0.1.0.4
- Since
easystats
added a new function to calculate the
sr2, effectsize::r2_semipartial
, rempsyc
now
relies on that function. First, it has the advantage of also providing a
confidence interval for the sr2. Second, it also fixes a bug when using
factors in lm
models that was introduced when switching
from car::Anova
to manual calculation via the formula
interface.
- Accordingly,
rempsyc::sr2
becomes deprecated and will
be removed completely in the next major version, please use
effectsize::r2_semipartial
.
nice_mod
and nice_lm_slopes
now use
nice_lm
internally to reduce code redundancy and shorten
the code base (and nice_slopes
uses
nice_lm_slopes
internally).
- To align with other package dependencies,
rempsyc
now
requires R >= 3.6
nice_reverse
loses its warning
parameter,
as the warning seems unnecessary (and annoying to some), given all
relevant information is available from the documentation.
rempsyc 0.1.0.3
nice_table
now only keeps the first occurrence of
repeated (duplicated) dependent variables, and merges (and centers).
Only works for a column called “Dependent Variables”. For columns named
“Predictor” and “Term”, now also converts colons “:” to the
multiplication symbol, “×”.
outliers_plot
changes name to
plot_outliers
, to be consistent with the verb naming
approach.
rempsyc 0.1.0.2
nice_varplot
and nice_var
: Now ignores
missing values when calculating variance.
rempsyc 0.1.0.1
- New function to visualize outliers:
outliers_plot
,
which generates a violin scatter plot (dot plot) and adds lines for +/-
3 MAD (or SD, based on selected method). Importantly, supports plotting
by group.
nice_violin
: at some point in time, it supported a
single group (or no group), but this feature was lost at some point. It
is now back.
rempsyc 0.1.0
rempsyc 0.0.9.9
nice_contrasts
: corrects a bug whereas the effect sizes
appeared in the wrong order.
rempsyc 0.0.9.8
nice_violin
gets some love after receiving its first
citation (Jensen & Westergaard, 2022;
https://doi.org/10.1111/lang.12525; yeah!!). It now defaults to
not using bootstrapping per default, so it now needs to be
requested explicitly. The bootstrapping method (BCa) is now specified in
the documentation, and it is also clarified that the bootstrapping only
applies to the confidence interval (not e.g., the mean). Underlying code
is also simplified. Finally, a bug is fixed whereas the function used
bootstrapping even when boot
was set to
FALSE
.
rempsyc 0.0.9.7
- We move
ggplot2
from a hard (imported) dependency to a
soft (suggested) one, since many people seem to be using
nice_table
over the plotting features. And given the recent
isoband
CRAN dependency events.
rempsyc 0.0.9.6
- We get rid of
car_Anova
and
lmsupport_modeleffectsizes
and now compute the sr2
ourselves! With the help of our friends insight
and
performance
.
rempsyc 0.0.9.5
rempsyc
gets lighter, as we get rid of the rather large
car
package dependency (by incorporating the single
function we were using, Anova
), and move other packages
(boot
, lmtest
, ggrepel
,
ggsignif
, and qqplotr
) from required to
suggested packages.
rempsyc 0.0.9.4
nice_table
: automatic formatting (of p-values,
confidence intervals, etc.) now supports more than two levels of headers
(with the separate.header
argument).
rempsyc 0.0.9.3
- Now that
openxlsx2
is on CRAN,
cormatrix_excel2
replaces cormatrix_excel
(and
rempsyc
package does not rely on an external GitHub
dependency anymore, yeah!).
rempsyc 0.0.9.2
nice_table
: Multilevel headings, with the
separate.header
argument, now supports automatic formatting
(of p-values, confidence intervals, etc.).
rempsyc 0.0.9.1
nice_table
:
- fixed sr2 incorrectly showing leading zero.
- new argument:
col.format.ci
, to format confidence
intervals (accepts lists of lower and upper thresholds)
find_mad
and nice_assumptions
: fixed
printing method
rempsyc 0.0.9
rempsyc 0.0.8.2
nice_var
: now returns a dataframe instead of a
tibble
- Updated docs: all functions now have
value
/return
fields describing the function’s
output.
cormatrix_excel
and cormatrix_excel2
: now
require an explicit file name, as per CRAN policies.
rempsyc 0.0.8.1
- New function:
extract_duplicates
, to extract all
duplicates (including first one) for closer inspection
- New function:
best_duplicate
, to keep only the best
duplicate based on the number of missing values
- nice_na:
all_na
output column now also counts
non-numeric variables
rempsyc 0.0.8
rempsyc 0.0.7
- First CRAN submission!
- This requires bumping the package version to 2 decimals only.
rempsyc 0.0.6.6
- Preparing for CRAN submission.
rempsyc 0.0.6.5
nice_normality
: breaks.auto
argument now
uses na.rm = TRUE
to support missing values
rempsyc 0.0.6.4
nice_normality
: breaks.auto
argument added
to allow control of the density plot in this aspect.
rempsyc 0.0.6.3
nice_density
: Switch back to not using the Sturges
method per default.
nice_table
: Internal change to stay compatible with new
flextable
version
rempsyc 0.0.6.2
nice_density
: Now uses na.rm = TRUE
internally to support data with missing values.
rempsyc 0.0.6.1
find_mad
: New argument mad.scores
to
return robust zscore (MAD) scores instead of raw scores (now default to
TRUE).
rempsyc 0.0.6
nice_density
: Now uses the Sturges method to define the
optimal number of bins automatically. Also adds two new arguments:
breaks.auto = TRUE
, if one does not want to use the Sturges
method, and bins = 30
, to define bins manually, if
needed.
rempsyc 0.0.5.9
cormatrix_excel2
: Added a third (sixth) colour for one
star significances (* = p < .05), and add an argument for printing
the correlation matrix to the console too (or not),
print.mat
.
rempsyc 0.0.5.8
nice_table
: Added chi2
automatic
formatting (+ chi2.df
formatting)
rempsyc 0.0.5.7
nice_na
: integrated a feature request to include the
number of rows that were all NAs.
rempsyc 0.0.5.6
- New function:
cormatrix_excel2
: a new version of
cormatrix_excel
relying on the openxlsx2
package and that allows incorporating significance stars along the
correlation matrix, as well as a second sheet containing the matrix of
p-values. Experimental until openxlsx2
reaches CRAN.
rempsyc 0.0.5.5
- Fixed
nice_randomize
as it had been outputting the
wrong output format for within-subject designs when moving from plyr to
dplyr (+ updated runsheet tutorial).
nice_table
: changed back from
layout = "fixed"
to layout = "autofit"
now
that flextable
fixed the unnecessary line breaks for
confidence intervals
rempsyc 0.0.5.4
cormatrix_excel
: corrected values for small, medium,
large correlations (from 0.0-0.3: small; 0.3-0.6: medium; 0.6-1.0: large
to 0.0-0.2: small; 0.2-0.4: medium; 0.4-1.0: large).
rempsyc 0.0.5.3
- Corrected spelling of all code with
devtools::spell_check()
- Restyled all code according to the tidyverse guidelines with
styler::style_pkg()
nice_table
: greatly improved APA title feature thanks
to @Buedenbender
(and shout-out to his package datscience and
function flex_table1
on which this improvement was based!)
rempsyc 0.0.5.2
nice_table
: added new argument,
separate.header
, a logical (and simplified) form of the
flextable::separate_header
argument.
rempsyc 0.0.5.1
- New package site, hooray!
cormatrix_excel
:
- Changed default method of base
cor
function from
“na.or.complete” to the most liberal one to match SPSS:
“pairwise.complete.obs”.
- Added a
use
argument to specify which one to use in
case a user wants a different option.
nice_table
:
- Automatized integration with the
report
package so we
don’t have to specify the e.g. report = "lm"
argument
manually.
- Added optional arguments for table title and footnote.
- Many functions (based on
goodpractice
package
recommendations):
- Changed
sapply
for lapply
since
sapply
is not recommended and using vapply
with list outputs was too complicated.
- Shortened line codes to < 80 characters.
- Replaced 1:length(…) or 1:nrow(…) by seq_along(…).
rempsyc 0.0.5
nice_na
: added scales argument to specify specific
scales
rempsyc 0.0.4.9
- New function:
nice_NA
; nicely reports NA values
according to existing guidelines. This function reports both absolute
and percentage values of specified column lists.
rempsyc 0.0.4.8
nice_density
and nice_normality
: added the
possibility to provide no group argument so as to have a plot of all
data.
rempsyc 0.0.4.7
nice_violin
: made default contour lines thicker, but
also added argument border.size
to allow
customization.
rempsyc 0.0.4.6
nice_violin
: Corrected a bug whereas the Cohen’s
d wasn’t added to the plot if manual annotation (as opposed to
automatic) comparisons were made. Also, the default test used in
geom_signif::geom_signif()
was the Wilcox test. It has been
changed to the t-test to avoid confusion when results mismatch. Finally,
the contour lines were made thicker since at high resolution they
appeared too thin.
- New function:
format_d
to format d values as e.g.,
0.30
instead of 0.3
e.g., on violin
plots.
rempsyc 0.0.4.5
nice_violin
: Added the ability to add the Cohen’s d to
the plot
rempsyc 0.0.4.4
find_mad
: improved reporting of ID and row number
rempsyc 0.0.4.3
nice_table
: changed default table width (again)
rempsyc 0.0.4.2
nice_table
: changed default table width
rempsyc 0.0.4.1
find_mad
: corrected a bug whereas having a dataframe
with no outliers in certain situations generated an error
rempsyc 0.0.4
nice_density
and nice_normality
: added the
histogram
option to add an histogram to the density
plot.
rempsyc 0.0.3.9
- Created an internal ggplot2 APA “theme” to avoid code redundancy
across plots
rempsyc 0.0.3.8
nice_table
: greatly improved underlying code: more
clarity (dplyr) and less repetition (with added internal functions)
rempsyc 0.0.3.7
nice_violin
: reverted theme to original default (alpha
= 1 and black border) from modified theme some time ago (alpha = .70,
white border). Users wishing to keep the original style can simply
specify these options in their script.
rempsyc 0.0.3.6
- New function:
nice_contrasts
for planned contrasts
(multiple group pairwise comparisons)
rempsyc 0.0.3.5
nice_t_test
: Fixed mu
value for one-sample
t-test
rempsyc 0.0.3.4
- Added
ggplot2::waiver
to reexports
- Added table of content to readme
rempsyc 0.0.3.3
find_mad
: Now only prints individual variables that do
have outliers. However, it now lists all variables checked at the top to
avoid possible confusion.
- Also reformatted arguments vertically instead of horizontally within
functions for clarity (doesn’t affect users or documentation
proper).
rempsyc 0.0.3.2
nice_t_test
: Added support for one-sample t-test.
rempsyc 0.0.3.1
- new functions for the median absolute deviation (MAD):
find_mad
to find outliers based on the MAD,
scale_mad
to scale (standardize) data based on the MAD, and
winsorize_mad to winsorize (bring outliers in +/3 SD) based on the
MAD.
rempsyc 0.0.3
nice_table
: brought a correction to the automatic 95%
CI so that when numbers are rounded to 0, the zeros still show (e.g.,
0.20 instead of 0.2).
rempsyc 0.0.2.9
nice_normality
: improved implementation of the
title
argument
nice_table
: added N as italic in header
rempsyc 0.0.2.8
nice_table
- integration with
broom
package: moved columns Method
and Alternative to beginning for consistency with treatment of the
report
package.
- Fixed appropriate decimals display for degrees of freedom with
actual decimals (e.g., for Welch t-test).
nice_t_test
: Added optional Bonferroni correction
argument (and other corrections if possible). Other corrections to be
implemented in the future.
rempsyc 0.0.2.7
nice_t_test
: changed from package effsize
to effectsize
for effect size because the Cohen’s d value
for paired samples wasn’t consistent with other packages.
rempsyc 0.0.2.6
- Integration with
report
package: combined CI_low and
CI_high for method t.test
(just like for method
lm
)
- Added an optional
short
argument to get a more concise
table output from the report
package integration
rempsyc 0.0.2.5
- Fixed a slight model number mix-up in
nice_slopes
.
rempsyc 0.0.2.4
- Added support for paired t-tests (only adaptation of Cohen’s d was
necessary) and updated documentation to give multiple examples of t-test
customization.
rempsyc 0.0.2.3
- Added warning to
nice_t_test
informing users about the
Welch t-test being used per default (through base R
t.test
’s default) and how to change it. Also added option
to turn off this warning.
rempsyc 0.0.2.2
- new function:
nice_lm
to format any existing
lm
model object in a proper format for
nice_table
, including sr2
- new function:
nice_lm_slopes
to format simple slopes
for any existing lm
model object in a proper format for
nice_table
, including sr2
nice_mod
and nice_slopes
:
- Added model number when more then one model.
- Also added an optional
mod.id = TRUE
argument, to
display the model number, when there is more than one model.
- Also reordered default order of rows when there is a second
moderator present as it makes more sense to group the same models
completely together for different levels of the second moderator.
- By combining the row names within the list object rather than in the
combined dataframe, we also don’t have to worry about changing names,
etc. anymore. Thus it is now cleaner and not missing with variable
names.
rempsyc 0.0.2.1
nice_mod
and nice_slopes
: Added an
argument b.label
to rename b, e.g., to capital B if using
standardized data for it to be converted to the Greek beta symbol
automatically in the nice_table
function.
rempsyc 0.0.2
- nice_mod and nice_slopes: Corrected a bug whereas having column
names with periods would cut off the variable names before the dots
because of the automatic correction of the interaction term row names
which contain periods as well.
rempsyc 0.0.1.9
- Added a
NEWS.md
file to track changes to the
package.
- Improved
report
package integration with
nice_table
rempsyc 0.0.1.8
- Moved some packages to suggest with
rlang::check_installed
. Make the package lighter.
- Added compatibility of
nice_table
with the
report
package
rempsyc 0.0.1.7
nice_table
: changed argument name
dataframe
for data
for consistency.
rempsyc 0.0.1.6
- Added compatibility of
nice_table
with the broom
package
nice_randomize
: sorted ‘within’ group by id (as it
should have always been)
- Realized that trying to have tidy selection and not having to quote
arguments creates problems for vectorization. So we are back to quoted
arguments on
nice_scatter
and
nice_varplot
.
- Integrated
format_p
internally in the other
functions
nice_scatter
and nice_varplot
: now allow
to directly provide the group argument without having to convert to
factor manually. Also allow to remove line to just keep points.
- Added jitter to
varplot
function
rempsyc 0.0.1.5
- Added criteria argument to
nice_var
to specify the
desired threshold. Also moved data argument first for pipe
compatibility.
- Significant overhaul to functions, such as changes of argument names
order.
rempsyc 0.0.1.4
- new function:
nice_normality
rempsyc 0.0.1.3
- added new function:
format_values
- Added new function:
cormatrix_excel
- Fixed the
geom_smooth() using formula 'y ~ x'" warning in nice_scatter()
error
- removed row names from
nice_t_test
- added width argument to
nice_table
rempsyc 0.0.1.2
- removed dependency on
plyr
rempsyc 0.0.1.1
- added new function:
nice_reverse()
rempsyc 0.0.1
- integrated
rcompanion::groupwiseMean
internally with
documentation
- removed
lmSupport_modelEffectSizes
from exports to use
as internal function only
- removed
crayon
package dependency