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farr 0.3.0

farr 0.3.0

• Tweaked test_scores data (now two files).
• Added system_time().

farr 0.2.39

farr 0.2.38

• Tweaks for CRAN submission.

farr 0.2.36

• Added parquet-related functions: load_parquet() and pg_to_parquet().
• Added gvkey_ciks data.

farr 0.2.35

• Added cmsw_2018 data.
• Fixes to documentation.

farr 0.2.34

• Fixes to data and documentation.

farr 0.2.33

• Updated tests.

farr 0.2.32

• Removed duplicates from names data.

farr 0.2.30

• Added aus_banks data sets.

farr 0.2.29

• Added rusboost function.

farr 0.2.28

• Added Zhang (2007) data.

farr 0.2.27

• Added tests.
• Added examples.

farr 0.2.26

• Added sho_r3000_sample data set.
• Added sho_r3000_gvkeys data set.

farr 0.2.25

• Replaced df_to_pg() with copy_inline() from dbplyr package.

farr 0.2.24

• Added sho_r3000 data set.
• Renamed FHK data sets.

farr 0.2.23

• Added sho_tickers data set.

farr 0.2.22

• Added form_deciles function.

farr 0.2.21

• Added Reg SHO data sets (sho_pilot and sho_firm_years).

farr 0.2.20

• Added get_size_rets_monthly and get_me_breakpoints functions.

farr 0.2.16

• Removed read_only arguments.

farr 0.2.15

• Added random assignment option to get_test_scores.

farr 0.2.14

• Tweaked df_to_pg() to use VALUES.

farr 0.2.13

• Use dbQuoteLiteral() in df_to_pg().

farr 0.2.12

• Added get_test_scores() function.

farr 0.2.11

• Fixes to cumulative returns code.
• Added monthly returns.

farr 0.2.10

• Added two data sets related to LLZ 2018.
  • llz_2018: GVKEYs.
  • undisclosed_names: For disclosure variable.

farr 0.2.9

• Added idd_dates (data) and get_idd_periods() (function)
• Added state_hq data.

farr 0.2.8

• Reverted to earlier form of df_to_pg() function (#1).
• Added test_scores data.

farr 0.2.7

• Added comp data set.

farr 0.2.6

• Now use DBI::dbQuoteLiteral() in df_to_pg() function (#1).

farr 0.2.5

• Added get_ff_ind function.

farr 0.2.4

• Added 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.
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