套件：r-cran-extradistr（1.8.10-1）
r-cran-extradistr 的相關連結
Debian 的資源：
下載原始碼套件 r-cran-extradistr：
- [r-cran-extradistr_1.8.10-1.dsc]
- [r-cran-extradistr_1.8.10.orig.tar.gz]
- [r-cran-extradistr_1.8.10-1.debian.tar.xz]
維護小組：
外部的資源：
- 主頁 [cran.r-project.org]
相似套件：
additional univariate and multivariate distributions for GNU R
Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions. This package implements the following distributions: Bernoulli, beta-binomial, beta- negative binomial, beta prime, Bhattacharjee, Birnbaum-Saunders, bivariate normal, bivariate Poisson, categorical, Dirichlet, Dirichlet- multinomial, discrete gamma, discrete Laplace, discrete normal, discrete uniform, discrete Weibull, Frechet, gamma-Poisson, generalized extreme value, Gompertz, generalized Pareto, Gumbel, half-Cauchy, half- normal, half-t, Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy, Laplace, location-scale t, logarithmic, Lomax, multivariate hypergeometric, multinomial, negative hypergeometric, non- standard beta, normal mixture, Poisson mixture, Pareto, power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam, slash, triangular, truncated binomial, truncated normal, truncated Poisson, Tukey lambda, Wald, zero-inflated binomial, zero-inflated negative binomial, zero-inflated Poisson.
其他與 r-cran-extradistr 有關的套件
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- dep: libc6 (>= 2.14) [amd64]
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
- dep: libc6 (>= 2.17) [arm64]
- dep: libc6 (>= 2.4) [armhf, i386]
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- dep: libgcc1 (>= 1:3.0) [除 armhf]
- GCC 支援函式庫
- dep: libgcc1 (>= 1:3.5) [armhf]
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- dep: libstdc++6 (>= 5.2)
- GNU Standard C++ Library v3
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- dep: r-api-3.5
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-base-core (>= 3.5.1-1)
- GNU R core of statistical computation and graphics system
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- dep: r-cran-rcpp
- GNU R package for Seamless R and C++ Integration
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- sug: r-cran-evd
- GNU R Functions for extreme value distributions
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- sug: r-cran-testthat
- GNU R testsuite
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- sug: r-cran-vgam
- GNU R package for estimating vector generalized additive models