tidyr
, readr
.future
and carrier
.grur_imputations
: tidyr::spread
and tidyr::gather
are now
deprecated in favor of (pivot_) functions. These are actually a lot slower
than gather and spread (https://github.com/tidyverse/tidyr/issues/613).
No thank you. They are now replaced in grur by the data.table equivalent verbs.simulate_rad
and missing_distributions
from Eric Archer.missing_visualization
: is getting an upgrade. Will work with GDS file/object.grur_imputations
: will be fully reviewed and updated to work with GDS.radiator::genomic_converter
: is now integrated at the end of the imputation
module, instead of the later. This will reduce duplication codes for me, and help pass
CRAN...grur_imputations
grur's
dependencies:
Suggests
section these packages:
lightgbm, missRanger, randomForestSRC, ranger, rmarkdown, rmetasim, strataG,
xgboost.missing_visualization
don't have to install
all the required packages required for imputations or simulations.simulate_rad
: with the latest R release (3.5.0), Check now throw a new note:
Note: next used in wrong context: no loop is visible at simulate_rad.R:189
I replaced next
inside sapply
with while
.
lightGBM
option to conduct the imputations is fully functionalmissing_visualization
to get better output figures with large number of poplightGBM
packageworked on missing_visualization
added Eric Archer's work on detecting patterns
figures are now combined under themes (e.g. all PCoA for the same strata are together, etc)
missing_visualization
pbmcapply
package.pbmcapply
package.pbmcapply
package.simulate_rad
: a new function developed by Eric Archer to simulate populations
of RADseq data following island or stepping stone models.dplyr v.0.7.0
generate_missing
function.imputations_accuracy
and memorize_missing
. Check functions
documentations for more info.New package is out!
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