The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
ieee_floating_point_ops
enabled (#34).rusboost() objects,
and clarified which examples require internet access or database
credentials.get_size_rets_monthly() now downloads over HTTPS to a
temporary file, removes it even on failure, and restores
VROOM_CONNECTION_SIZE after parsing instead of changing the
caller’s files or environment (#33).rusboost() now retains a perfect learner as the sole
predictive learner with weight 1 and reports an error if no usable
learner is fitted (#32). Random undersampling handles singleton classes
safely and validates class counts and majority sample sizes.ret = -1) in stocks and benchmarks (#31).
Missing-value handling is unchanged, and returns below -1 continue to
raise an error.get_event_rets() now retains non-trading-day
announcements (#30), measuring relative trading days from the next
trading day while keeping the original announcement dates.get_got_data() to use rho_E for
firm-specific error persistence (#29). Simulations with unequal
rho_X and rho_E now follow the requested error
process; equal-parameter results are unchanged.aaer_dates through October 2026, with 3,386
rows. The data steps apply source-backed date and coverage corrections,
preserve historical entries absent from the current SEC index, and
remove exact duplicates (#27).iliev_2010 using
the original 10-Ks, including four fractional years. The original CSV is
preserved, with an explicit correction table and filing references in
data-raw (#28).predict.rusboost(type = "prob") (#26), including
predictions for a single observation or weak learner. Probability
predictions require finite, nonnegative weights with a positive finite
total.by_tag_year documentation:
year_total counts questions across all tags in a year,
rather than questions with a specific tag.get_ff_ind() now caches downloaded Fama-French industry
zip files by default and supports
refresh_cache = TRUE.duckdb_to_parquet().duckdb_to_parquet() by
removing the dbplyr::sql() wrapper around
read_parquet().gvkey_ciks.keep_max argument in
get_me_breakpoints().get_me_breakpoints() function works with current
data format.tidyselect
package.test_scores data (now two files).system_time().load_parquet() and
pg_to_parquet().gvkey_ciks data.cmsw_2018 data.aus_banks data sets.rusboost function.sho_r3000_sample data set.sho_r3000_gvkeys data set.df_to_pg() with copy_inline()
from dbplyr package.sho_r3000 data set.sho_tickers data set.form_deciles function.sho_pilot and
sho_firm_years).get_size_rets_monthly and
get_me_breakpoints functions.read_only arguments.get_test_scores.df_to_pg() to use VALUES.get_test_scores() function.llz_2018: GVKEYs.undisclosed_names: For disclosure variable.idd_dates (data) and
get_idd_periods() (function)state_hq data.df_to_pg() function
(#1).test_scores data.comp data set.DBI::dbQuoteLiteral() in
df_to_pg() function (#1).get_ff_ind function.get_got_data function.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.