Distribution Statistics for Zero-Truncated Negative Binomial
Source:R/stats-ztn-binomial-tbl.R
util_zero_truncated_negative_binomial_stats_tbl.Rd
Computes distribution statistics for a zero-truncated negative binomial distribution.
See also
Other Binomial:
tidy_binomial()
,
tidy_negative_binomial()
,
tidy_zero_truncated_binomial()
,
tidy_zero_truncated_negative_binomial()
,
util_binomial_param_estimate()
,
util_binomial_stats_tbl()
,
util_negative_binomial_param_estimate()
,
util_zero_truncated_binomial_param_estimate()
,
util_zero_truncated_binomial_stats_tbl()
,
util_zero_truncated_negative_binomial_param_estimate()
Other Negative Binomial:
util_negative_binomial_stats_tbl()
Other Distribution Statistics:
util_bernoulli_stats_tbl()
,
util_beta_stats_tbl()
,
util_binomial_stats_tbl()
,
util_burr_stats_tbl()
,
util_cauchy_stats_tbl()
,
util_chisquare_stats_tbl()
,
util_exponential_stats_tbl()
,
util_f_stats_tbl()
,
util_gamma_stats_tbl()
,
util_generalized_beta_stats_tbl()
,
util_generalized_pareto_stats_tbl()
,
util_geometric_stats_tbl()
,
util_hypergeometric_stats_tbl()
,
util_inverse_burr_stats_tbl()
,
util_inverse_pareto_stats_tbl()
,
util_inverse_weibull_stats_tbl()
,
util_logistic_stats_tbl()
,
util_lognormal_stats_tbl()
,
util_negative_binomial_stats_tbl()
,
util_normal_stats_tbl()
,
util_paralogistic_stats_tbl()
,
util_pareto1_stats_tbl()
,
util_pareto_stats_tbl()
,
util_poisson_stats_tbl()
,
util_t_stats_tbl()
,
util_triangular_stats_tbl()
,
util_uniform_stats_tbl()
,
util_weibull_stats_tbl()
,
util_zero_truncated_binomial_stats_tbl()
,
util_zero_truncated_geometric_stats_tbl()
,
util_zero_truncated_poisson_stats_tbl()
Examples
library(dplyr)
tidy_zero_truncated_negative_binomial(.size = 1, .prob = 0.1) |>
util_zero_truncated_negative_binomial_stats_tbl() |>
glimpse()
#> Rows: 1
#> Columns: 17
#> $ tidy_function <chr> "tidy_zero_truncated_negative_binomial"
#> $ function_call <chr> "Zero Truncated Negative Binomial c(1, 0.1)"
#> $ distribution <chr> "Zero Truncated Negative Binomial"
#> $ distribution_type <chr> "discrete"
#> $ points <dbl> 50
#> $ simulations <dbl> 1
#> $ mean <dbl> 0.1111111
#> $ mode_lower <dbl> 0
#> $ range <chr> "1 to Inf"
#> $ std_dv <dbl> 0.3513642
#> $ coeff_var <dbl> 1.111111
#> $ skewness <dbl> 3.478505
#> $ kurtosis <dbl> 14.1
#> $ computed_std_skew <dbl> 1.397478
#> $ computed_std_kurt <dbl> 4.148819
#> $ ci_lo <dbl> 1
#> $ ci_hi <dbl> 32.775