Network Analysis of Dependencies of CRAN Packages


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Documentation for package ‘crandep’ version 0.3.9

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chi_citations Citation network of CHI papers
cran_dependencies Dependencies of CRAN packages
df_to_graph Construct the giant component of the network from two data frames
dmix2 Probability mass function (PMF) of 2-component discrete extreme value mixture distribution
dmix3 Probability mass function (PMF) of 3-component discrete extreme value mixture distribution
dpol Probability mass function (PMF) of Zipf-polylog distribution
get_dep Multiple types of dependencies
get_dep_all Multiple types of dependencies
get_dep_all_packages Dependencies of all CRAN packages
get_dep_df Multiple types of dependencies
get_graph_all_packages Graph of dependencies of all CRAN packages
marg_pow Marginal log-likelihood and posterior density of discrete power law via numerical integration
mcmc_mix1 Markov chain Monte Carlo for TZP-power-law mixture
mcmc_mix1_wrapper Wrapper of mcmc_mix1
mcmc_mix2 Markov chain Monte Carlo for 2-component discrete extreme value mixture distribution
mcmc_mix2_wrapper Wrapper of mcmc_mix2
mcmc_mix3 Markov chain Monte Carlo for 3-component discrete extreme value mixture distribution
mcmc_mix3_wrapper Wrapper of mcmc_mix3
mcmc_pol Markov chain Monte Carlo for Zipf-polylog distribution
mcmc_pol_wrapper Wrapper of mcmc_pol
obtain_u_set_mix1 Obtain set of thresholds with high posterior density for the TZP-power-law mixture model
obtain_u_set_mix2 Obtain set of thresholds with high posterior density for the 2-component mixture model
obtain_u_set_mix2_constrained Obtain set of thresholds with high posterior density for the constrained 2-component mixture model
obtain_u_set_mix3 Obtain set of thresholds with high posterior density for the 3-component mixture model
Smix2 Survival function of 2-component discrete extreme value mixture distribution
Smix3 Survival function of 3-component discrete extreme value mixture distribution
Spol Survival function of Zipf-polylog distribution
topo_sort_kahn Return a sorted vector of nodes id