Man pages for ropensci/tracerer
Tracer from R

calc_actCalculate the auto-correlation time, alternative...
calc_act_cppCalculate the auto correlation time from <URL:...
calc_act_rCalculate the auto-correlation time using only R. Consider...
calc_essCalculates the Effective Sample Size
calc_essesCalculates the Effective Sample Sizes from a parsed BEAST2...
calc_hpd_intervalCalculate the Highest Probability Density of an MCMC trace...
calc_stderr_meanCalculate the standard error of the mean
calc_std_error_of_mean_cppCalculates the standard error of the mean
calc_summary_statsCalculates the Effective Sample Sizes of one estimated...
calc_summary_stats_traceCalculates the Effective Sample Sizes of one estimated...
calc_summary_stats_tracesCalculates the Effective Sample Sizes of the traces of...
count_trees_in_fileCount the number of trees in a '.trees' file
cs_std_devCalculate the corrected sample standard deviation.
default_params_docDocumentation of general function arguments. This function...
extract_operators_linesExtract the JSON lines out of a '.xml.state' with the...
get_tracerer_pathGet the full path of a file in the 'inst/extdata' folder
get_tracerer_pathsGet the full paths of files in the 'inst/extdata' folder
is_posteriorDetermines if the input is a BEAST2 posterior
is_trees_posteriorDetermines if the input is a BEAST2 posterior, as parsed by...
parse_beast_logParses a BEAST2 '.log' output file
parse_beast_output_filesParse all BEAST2 output files
parse_beast_posteriorParses BEAST2 output files to a posterior
parse_beast_state_operatorsParses a BEAST2 .xml.state output file to get only the...
parse_beast_treesParses a BEAST2 .trees output file
remove_burn_inRemoved the burn-in from a trace
remove_burn_insRemoved the burn-ins from a data frame
save_beast_estimatesSave the BEAST2 estimates as a BEAST2 '.log' file. There will...
save_beast_treesSave the BEAST2 trees as a BEAST2 '.log' file. There will be...
tracerer'tracerer': A package to parse BEAST2 output files.
ropensci/tracerer documentation built on May 14, 2019, 8:55 p.m.