#' Bee specimens from 4 sites sampled with equal effort
#'
#' A dataset containing the bee species identities of all specimens
#' collected at each site during 15 30-minute transects.
#'
#' @format A tibble with 2019 rows and 7 variables:
#' - *uniqueID*: unique specimen identifier
#' - *bee*: concatenated Latin binomial for bee species ID
#' - *start*: time of day that 30-minute sampling transect began, with
#' arbitrary date value
#' - *sr* concatenated site name and sampling round
#' - *sday1* ordinal, day of sampling round (1, 2, or 3)
#' - *sampling_round* integer between 1 and 5, indicating which 3-day sampling
#' round at given site
"beeObs"
#' Bee specimens from 4 sites sampled with equal effort, summarized
#'
#' A dataset containing the number of specimens of each bee species
#' collected at each site during 15 30-minute transects.
#'
#' @format A tibble with 68 rows and 5 variables:
#' - *bee*: concatenated Latin binomial for bee species ID
#' - *\`Cold Soil_5\`*: number of records of given species from site "Cold
#' Soil" during sampling round 5
#' - *\`Fox Hill_5\`*: number of records of given species from site "Fox Hill"
#' during sampling round 5
#' - *\`IAS_3\`*: number of records of given species from site "IAS" during
#' sampling round 3
#' - *\`Lord Stirling_4\`*: number of records of given species from site
#' "Lord Stirling" during sampling round 5
"beeAbunds"
#' Rarefied diversity estimates for each site
#'
#' A dataset containing expected observed Hill diversity and estimated
#' asymptotic Hill diversity for each of the 4 community samples analyzed in
#' \insertCite{Roswell2021}{MeanRarity}.
#'
#' @references
#' \insertRef{Roswell2021}{MeanRarity}
#'
#' @format A tibble with 2015 rows and 8 variables:
#' - *site*: Character, site ID
#' - *individuals*: Integer, individuals in rarefied sample
#' - *obsrich*: Numeric, mean observed species richness
#' - *chaorich*: Numeric, mean estimated asymptotic richness from Chao1
#' estimator
#' - *obsshan*: Numeric, mean observed Hill-Shannon diversity
#' - *chaoshan* Numeric, mean estimated asymptotic Hill-Shannon diversity
#' - *obssimp* Numeric, mean observed Hill-Simpson diversity
#' - *chaosimp* Numeric, mean estimated asymptotic Hill-Simpson diversity
"mean_ests"
#' Rarefied diversity estimates for each site, multiple standards
#'
#'?
#'
#' @seealso \insertRef{Chao2012a}{MeanRarity}.
#'
#' @format A tibble with 1008 rows and 6 variables:
#' - *site*: Factor, site ID
#' - *divind*: Factor, Hill diversity ("richness"
#' , "Hill-Shannon", or "Hill-Simpson)
#' - *etype* Factor, estimate type ("observed", or "asymptotic")
#' - *diversity*: Numeric, mean estimated Hill diversity value
#' - *method*: Factor, standardization method ("effort", "size", or "coverage")
#' - *xax*: Numeric, number of transects in subsamples, mean number of
#' individuals in subsamples, or mean sample coverage of subsamples
#' - *obsshan*: Numeric, mean observed Hill-Shannon diversity
#' - *chaoshan* Numeric, mean estimated asymptotic Hill-Shannon diversity
#' - *obssimp* Numeric, mean observed Hill-Simpson diversity
#' - *chaosimp* Numeric, mean estimated asymptotic Hill-Simpson diversity
"effort_rare"
#' Estimator accuracy and bias
#'
#' A simulated dataset with rmse and mean absolute error for different
#' approaches to estimating the true (asymptotic) Hill diversity based on finite
#' samples from simulated species abundance distributions. Hill diversity was
#' estimated with the naïve estimator, `rarity(sample_freq, l)`, the Chao and
#' Jost 2015 non-parametric asymptotic estimator `Chao_Hill_abu(sample_freq,
#' l)`, and God's estimator `GUE(sample_freq, true_freq, l)`.
#'
#' @references
#' \insertRef{Chao2015}{MeanRarity}
#'
#' @format A data.frame with 2376 rows and 8 variables:
#' - *ell*: Scalar, scaling parameter for Hill diversity
#' - *distribution* Factor, family, one of "lnorm" or "gamma"
#' - *fitted.parameter* Factor, shape parameter for fitting SAD
#' - *n*: Numeric, individuals sampled
#' - *SAD*: Integer, index of SAD sampled
#' - *estimator* Character, estimator whose error is described
#' - *rmse* Numeric, root mean squared error of estimator
#' - *bias* Numeric, mean difference between estimator and true diversity
#'
"errs"
#' Sampling variability in Hill diversity
#'
#' A simulated dataset with mean absolute error and log sd for sample and
#' asymptotic Hill diversity estimates based on finite samples from simulated
#' species abundance distributions. Hill diversity was estimated with the naïve
#' estimator, `rarity(sample_freq, l) and the Chao and Jost 2015 non-parametric
#' asymptotic estimator `Chao_Hill_abu(sample_freq, l), and parameterized by
#' richness and evenness
#'
#' @references
#' \insertRef{Chao2015}{MeanRarity}
#' \insertRef{Chao2019a}{MeanRarity}
#'
#' @format A data.frame with 2,196 rows and 15 variables:
#' - *evenness* Factor, approximately the ratio of Hill-Simpson to richness
#' - *distribution* Factor, family, one of "lnorm" or "gamma"
#' - *ell*: Scalar, scaling parameter for Hill diversity
#' - *sample_sdlog*: Numeric, standard deviation of natural log of sample
#' Hill diversity
#' - *estimator_sdlog*: Numeric, standard deviation of natural log of
#' estimated Hill diversity of the SAD based on asymptotic estimator
#' - *sample_bias* Numeric, mean log ratio of sample diversity to expected
#' sample diversity
#' - *naive_bias* Numeric, mean log ratio of sample diversity to true diversity
#' - *estimator_bias* Numeric, mean log ratio of estimated asymptotic diversity
#' to true diversity
#' - *sample_rmsle* Numeric, square root of the mean squared log ratio of
#' sample diversity to expected sample diversity
#' - *estimator_rmsle* Numeric, square root of the mean squared log ratio of
#' estimated asymptotic diversity to true diversity
#' - *estimator_rmsle* Numeric, square root of the mean squared log ratio of
#' estimated asymptotic diversity to true diversity
#' - *true_diversity* Numeric, Hill diversity of the SAD
#' - *mean_sample* Numeric, mean of sample diversity for combination of ell,
#' evenness, distribution, and SS.
#' - *mean_asymptotic* Numeric, mean of estimated asymptotic diversity for
#' combination of ell, evenness, distribution, and SS.
#' - *sample_size* Integer, number of individuals sampled
#'
"err_plot_data"
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