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ManyEcoEvo 2.7.6

  • build!: fix #146 regenerate yi data after excluding extreme values
  • build!: don't forget to filter the corresponding diversity data after exclusions!
  • Increment version number to 2.7.5
  • docs: update changelog
  • bug: #146 export function
  • docs!: #146 devtools::document()
  • feat: #146 add function for excluding extreme estimates based on a multiplier threshold for population parameter estimates
  • bug: exclude analysis with non-count-based dependent variable from yi analysis #145
  • bug: ensure outlier subset creation occurs on all exclusion_set values in Zr #144
  • bug: fix threshold checking for multivariate model fitting #147
  • build!: usethis::use_data() update results of make_viz()

ManyEcoEvo 2.7.5

  • build!: usethis::use_data() update results of make_viz()
    • build!: force tar_make() for #140
    • build!: force tar_make() for #140, add targets meta

ManyEcoEvo 2.7.4

  • docs: Update function documentation #140
    • add @detail explaining functions applied and which output list-column they map onto
    • update @return since grouped columns are no longer output
    • add @seealso
    • add @importFrom call for broom::glance()
    • Add example
  • feat: add broom::glance() back into make_viz() workflow #140

ManyEcoEvo 2.7.3

  • Fix #136 generate Zr outlier subsets on exclusion_set == "complete", not on exclusion_set == "partial"

ManyEcoEvo 2.7.2

  • separated column creation to occur under three conditions: NULL outcome_variable supplied, character string supplied, and expression argument supplied
  • separated subset creation to occur separately on results of conditional evaluation
  • Added conditional behaviour for when character vector supplied
  • feat!: added arg checks #116 and cli output for when this condition is triggered
  • explicitly supply outcome_variable and outcome_SE args for Zr
  • #118 docs: Add explanation about updated behaviour when estimate_type is missing in ManyEcoEvo dataframe
  • #118 build: devtools::document()

ManyEcoEvo 2.6.0

  • Update arg supply to targets call on prepare_response_variables() after #118 updates
  • #118 add pmap internal helper function for differential application of transformation / standardisation in standardise_response()
  • #118 delete old pmap helper function
  • dat to data to help with auto-matching in pmap within prepare_response_variables() wrapper #118
  • ensure all family fns have ... arg for pmap application in prepare_response_variables() since all fns have different argument lengths and names
  • accidentally deleted when upgrading for #118, have added creation of transform_datasets tibbles for all cases now, and then these will apply the appropriate functions in final code chunk at end
  • #118 ensure application of Z_VZ_preds takes the generalised colnames yi, yi_se instead of using hard-coded dataset application #97
  • #118 call new arg dataset_log_transform in fn to log-transform outcomes for euc yi analysis
  • #118 add log-transformation equivalent to standardise_response() and process_resonse()
  • #102 add function documentation, including examples
  • #118 extract lower and upper transformed vals in line with addition of log_transform_response() / changes to standardise_response()
  • #116 check appropriate required variable (i.e. function needs back_transformed_data, but checked for augmented_data in dat arg, wouldn't throw required error because augmented_data was present in dat
  • #102 add import, return, and see also roxygen doc tags, replace note with details tag, rename fn doc title
  • #116 update argument checks conditional expression
  • #118 match output to log_transform_yi() (now returns additional cols lower and upper, not only c("Z","VZ"))
  • #118 match process to log_transform_yi() and #97 generalise processing to both euc/bt datasets without hard-coding dataset names in fns, and remove associated dataset-specific argument checking #116
  • #118 adapt response variable preparation to accept additional argument dataset_log_transform apply argument checks #116, add roxygen param #102
  • #118 adapt response variable processing to accept either/or/none for dataset standardisation/log-transformation.
  • equivalent to pred_to_z()
  • #102 write documentation
  • #102 add import tags for log_transform() and link to equivalent functions, apply default argument values / checks
  • #97 rename out argument