Package: RSizeBiased 0.1.0

Dimitrios Bagkavos

RSizeBiased: Hypothesis Testing Based on R-Size Biased Samples

Provides functions and examples for testing hypothesis about the population mean and variance on samples drawn by r-size biased sampling schemes.

Authors:Dimitrios Bagkavos [aut, cre], Polychronis Economou [aut], Apostolos Batsidis [aut], Gorgios Tzavelas [aut]

# Install 'RSizeBiased' in R:

install.packages('RSizeBiased', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated from:dadb85e74a. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	114
source / vignettes	OK	162
linux-release	OK	106
windows-devel	OK	59
windows-release	OK	53
wasm-release	OK	98

Dependencies:pracma

Help page	Topics
Kullback-Leibler divergence between the (parametrized with respect to shape and mean or variance) of the Weibull or gamma distribution and its (assumed) maximum likelihood estimates.	Cond.KL.Weib.Gamma
Weibull size biased distribution of order r.	d_rsize_Weibull
Log likelihood function for the weighted gamma or Weibull distributions.	log_Lik_Weib_gamma_weighted
Weibull size biased c.d.f. of order r.	p_rsize_Weibull
r-th moment of the gamma or the Weibull distribution.	r_moment_gamma_Weib
Weibull size biased random number generation of order r (modified).	r_rsize_Weibull
Variance estimates for test statistics zeta_{n,r}^i, i=1,2 specifically for the Weibull and gamma distributions.	s11.s22
Test statistics.	Size.BiasedMV.Tests
Test statistic T_{n,r}^1 or T_{n,r}^2 depending on user input.	T1T2.Mean.Var
Upper Flat Creek forest cruise tree data	ufc
zeta_{n,r}^i, i=1,2 test statistic for the Weibull or the gamma distribution (depending on user input.	zeta_plug_in