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TidyDensity 1.5.0

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@spsanderson spsanderson released this 28 May 14:15
v1.5.0
b9bff54

Breaking Changes

None

New Features

  1. Fix #468 - Add function util_negative_binomial_aic() to calculate the AIC for the negative binomial distribution.
  2. Fix #470 - Add function util_zero_truncated_negative_binomial_param_estimate() to
    estimate the parameters of the zero-truncated negative binomial distribution.
    Add function util_zero_truncated_negative_binomial_aic() to calculate the AIC for the zero-truncated negative binomial distribution.
    Add function util_zero_truncated_negative_binomial_stats_tbl() to create a summary table of the zero-truncated negative binomial distribution.
  3. Fix #471 - Add function util_zero_truncated_poisson_param_estimate() to estimate
    the parameters of the zero-truncated Poisson distribution.
    Add function util_zero_truncated_poisson_aic() to calculate the AIC for the zero-truncated Poisson distribution.
    Add function util_zero_truncated_poisson_stats_tbl() to create a summary table of the zero-truncated Poisson distribution.
  4. Fix #472 - Add function util_f_param_estimate() and util_f_aic() to estimate the parameters and calculate the AIC for the F distribution.
  5. Fix #482 - Add function util_zero_truncated_geometric_param_estimate() to estimate the parameters of the zero-truncated geometric distribution.
    Add function util_zero_truncated_geometric_aic() to calculate the AIC for the zero-truncated geometric distribution.
    Add function util_zero_truncated_geometric_stats_tbl() to create a summary table of the zero-truncated geometric distribution.
  6. Fix #481 - Add function util_triangular_aic() to calculate the AIC for the triangular distribution.
  7. Fix #480 - Add function util_t_param_estimate() to estimate the parameters of the
    T distribution.
    Add function util_t_aic() to calculate the AIC for the T distribution.
  8. Fix #479 - Add function util_pareto1_param_estimate() to estimate the parameters of the Pareto Type I distribution.
    Add function util_pareto1_aic() to calculate the AIC for the Pareto Type I distribution.
    Add function util_pareto1_stats_tbl() to create a summary table of the Pareto Type I distribution.
  9. Fix #478 - Add function util_paralogistic_param_estimate() to estimate the parameters of the paralogistic distribution.
    Add function util_paralogistic_aic() to calculate the AIC for the paralogistic distribution.
    Add fnction util_paralogistic_stats_tbl() to create a summary table of the paralogistic distribution.
  10. Fix #477 - Add function util_inverse_weibull_param_estimate() to estimate the parameters of the Inverse Weibull distribution.
    Add function util_inverse_weibull_aic() to calculate the AIC for the Inverse Weibull distribution.
    Add function util_inverse_weibull_stats_tbl() to create a summary table of the Inverse Weibull distribution.
  11. Fix #476 - Add function util_inverse_pareto_param_estimate() to estimate the parameters of the Inverse Pareto distribution.
    Add function util_inverse_pareto_aic() to calculate the AIC for the Inverse Pareto distribution.
    Add Function util_inverse_pareto_stats_tbl() to create a summary table of the Inverse Pareto distribution.
  12. Fix #475 - Add function util_inverse_burr_param_estimate() to estimate the parameters of the Inverse Gamma distribution.
    Add function util_inverse_burr_aic() to calculate the AIC for the Inverse Gamma distribution.
    Add function util_inverse_burr_stats_tbl() to create a summary table of the Inverse Gamma distribution.
  13. Fix #474 - Add function util_generalized_pareto_param_estimate() to estimate the parameters of the Generalized Pareto distribution.
    Add function util_generalized_pareto_aic() to calculate the AIC for the Generalized Pareto distribution.
    Add function util_generalized_pareto_stats_tbl() to create a summary table of the Generalized Pareto distribution.
  14. Fix #473 - Add function util_generalized_beta_param_estimate() to estimate the parameters of the Generalized Gamma distribution.
    Add function util_generalized_beta_aic() to calculate the AIC for the Generalized Gamma distribution.
    Add function util_generalized_beta_stats_tbl() to create a summary table of the Generalized Gamma distribution.
  15. Fix #469 - Add function util_zero_truncated_binomial_stats_tbl() to create a summary table of the Zero Truncated binomial distribution.
    Add function util_zero_truncated_binomial_param_estimate() to estimate the parameters of the Zero Truncated binomial distribution.
    Add function util_zero_truncated_binomial_aic() to calculate the AIC for the Zero Truncated binomial distribution.

Minor Improvements and Fixes

  1. Fix #468 - Update util_negative_binomial_param_estimate() to add the use of
    optim() for parameter estimation.
  2. Fix #465 - Add names to columns when .return_tibble = TRUE for quantile_normalize()
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