None
tidy_normal() to list of tested
distributions. Add AIC from a linear model for metric, and
add stats::ks.test() as a metric.None
None
tidy_distribution_summary_tbl()purrr::compact() on the list of
distributions passed in order to prevent the issue occurring in
#212tidy_distribution_comparison() more
robust in terms of handling bad or erroneous data.tidy_multi_single_dist() which helps it to work with other
functions like tidy_random_walk()None
color_blind()
td_scale_fill_colorblind() and
td_scale_color_colorblind()ci_lo() and
ci_hi()tidy_bootstrap()bootstrap_unnest_tbl()tidy_distribution_comparison()_autoplot functions to include
cumulative mean MCMC chart by taking advantage of the
.num_sims parameter of tidy_ distribution
functions.tidy_empirical() to add a parameter
of .distribution_typetidy_empirical() is now again plotted by
_autoplot functions..num_sims parameter to
tidy_empirical()ci_lo() and ci_hi() to all
stats tbl functions.distribution_family_type to discrete for
tidy_geometric()None
tidy_four_autoplot() - This
will auto plot the density, qq, quantile and probability plots to a
single graph.util_weibull_param_estimate()util_uniform_param_estimate()util_cauchy_param_estimate()tidy_t() - Also add to plotting
functions.tidy_mixture_density()util_geometric_stats_tbl()util_hypergeometric_stats_tbl()util_logistic_stats_tbl()util_lognormal_stats_tbl()util_negative_binomial_stats_tbl()util_normal_stats_tbl()util_pareto_stats_tbl()util_poisson_stats_tbl()util_uniform_stats_tbl()util_cauchy_stats_tbl()util_t_stats_tbl()util_f_stats_tbl()util_chisquare_stats_tbl()util_weibull_stats_tbl()util_gamma_stats_tbl()util_exponential_stats_tbl()util_binomial_stats_tbl()util_beta_stats_tbl()p calculation in
tidy_poisson() that will now produce the correct
probability chart from the auto plot functions.p calculation in
tidy_hypergeometric() that will no produce the correct
probability chart from the auto plot functions.tidy_distribution_summary_tbl() function
did not take the output of tidy_multi_single_dist()ggplot2::xlim(0, max_dy) to
ggplot2::ylim(0, max_dy)q columntidy_gamma() parameter of
.rate to
.scale Fixtidy_autoplot_functions to incorporate this change. Fixutil_gamma_param_estimate()to sayscaleinstead ofrate`
in the returned estimated parameters.None
.geom_smooth is set to TRUE
that ggplot2::xlim(0, max_dy) is set.tidy_multi_single_dist() failed on
distribution with single parameter like tidy_poisson()tidy_ distribution functions to
add an attribute of either discrete or continuous that helps in the
autoplot process.tidy_autoplot() to use histogram or
lines for density plot depending on if the distribution is discrete or
continuous.tidy_multi_dist_autoplot() to use
histogram or lines for density plot depending on if the distribution is
discrete or continuous.None
tidy_binomial()tidy_geometric()tidy_negative_binomial()tidy_zero_truncated_poisson()tidy_zero_truncated_geometric()tidy_zero_truncated_binomial()tidy_zero_truncated_negative_binomial()tidy_pareto1()tidy_pareto()tidy_inverse_pareto()tidy_random_walk()tidy_random_walk_autoplot()tidy_generalized_pareto()tidy_paralogistic()tidy_inverse_exponential()tidy_inverse_gamma()tidy_inverse_weibull()tidy_burr()tidy_inverse_burr()tidy_inverse_normal()tidy_generalized_beta()tidy_multi_single_dist()tidy_multi_dist_autoplot()tidy_combine_distributions()tidy_kurtosis_vec(),
tidy_skewness_vec(), and
tidy_range_statistic()util_beta_param_estimate()util_binomial_param_estimate()util_exponential_param_estimate()util_gamma_param_estimate()util_geometric_param_estimate()util_hypergeometric_param_estimate()util_lognormal_param_estimate()tidy_scale_zero_one_vec()tidy_combined_autoplot()util_logistic_param_estimate()util_negative_binomial_param_estimate()util_normal_param_estimate()util_pareto_param_estimate()util_poisson_param_estimate()crayon, rstudioapi, and
cli from Suggests to Imports due to pillar no
longer importing..geom_rug to
tidy_autoplot() function.geom_point to
tidy_autoplot() function.geom_smooth to
tidy_autoplot() function.geom_jitter to
tidy_autoplot() functiontidy_autoplot() for when the distribution
is tidy_empirical() the legend argument would fail.tidy_empirical()_pkgdown.yml file to update site.param_grid, param_grid_txt,
and dist_with_params to the attributes of all
tidy_ distribution functions.... as a grouping parameter to
tidy_distribution_summary_tbl()dist_type a factor for
tidy_combine_distributions()None
tidy_normal()tidy_gamma()tidy_beta()tidy_poisson()tidy_autoplot()tidy_distribution_summary_tbl()tidy_empirical()tidy_uniform()tidy_exponential()tidy_logistic()tidy_lognormal()tidy_weibull()tidy_chisquare()tidy_cauchy()tidy_hypergeometric()tidy_f()None
None
NEWS.md file to track changes to the
package.None