{ "_id": "6a44d4e76ff6f2357551c213", "Package": "tracerer", "Type": "Package", "Title": "Tracer from R", "Version": "2.2.4", "Authors@R": "c(\nperson(\"Richèl J.C.\", \"Bilderbeek\", email = \"rjcbilderbeek@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-1107-7049\")),\nperson(\"Joëlle\", \"Barido-Sottani\", role = \"rev\", comment = \"Joëlle reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/209\"),\nperson(\"Roberto\", \"Villegas-Diaz\", role = \"ctb\"),\nperson(\"David\", \"Winter\", role = \"rev\", comment = \"David reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/209\"))", "Maintainer": "Richèl J.C. Bilderbeek ", "Description": "'BEAST2' () is a widely used\nBayesian phylogenetic tool, that uses DNA/RNA/protein data and\nmany model priors to create a posterior of jointly estimated\nphylogenies and parameters. 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Consider using calc_act instead, as it is orders of magnitude faster", "topics": [ "calc_act_r" ] }, { "page": "calc_ess", "title": "Calculates the Effective Sample Size", "topics": [ "calc_ess" ] }, { "page": "calc_esses", "title": "Calculates the Effective Sample Sizes from a parsed BEAST2 log file", "topics": [ "calc_esses" ] }, { "page": "calc_geom_mean", "title": "Calculate the geometric mean", "topics": [ "calc_geom_mean" ] }, { "page": "calc_hpd_interval", "title": "Calculate the Highest Probability Density of an MCMC trace that has its burn-in removed", "topics": [ "calc_hpd_interval" ] }, { "page": "calc_mode", "title": "Calculate the mode of values If the distribution is bi or multimodal or uniform, NA is returned", "topics": [ "calc_mode" ] }, { "page": "calc_std_error_of_mean_cpp", "title": "Calculates the standard error of the mean", "topics": [ "calc_std_error_of_mean_cpp" ] }, { "page": "calc_stderr_mean", "title": "Calculate the standard error of the mean", "topics": [ "calc_stderr_mean" ] }, { "page": "calc_summary_stats", "title": "Calculates the Effective Sample Sizes of one estimated variable's trace", "topics": [ "calc_summary_stats" ] }, { "page": "calc_summary_stats_trace", "title": "Calculates the Effective Sample Sizes of one estimated variable's trace", "topics": [ "calc_summary_stats_trace" ] }, { "page": "calc_summary_stats_traces", "title": "Calculates the Effective Sample Sizes of the traces of multiple estimated variables", "topics": [ "calc_summary_stats_traces" ] }, { "page": "check_trace", "title": "Check if the trace is a valid. 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