Changelog
Source:NEWS.md
CausalGPS 0.5.0 (20240619)
CausalGPS 0.4.1 (20230929)
CRAN release: 20230929
CausalGPS 0.4.0 (20230525)
CRAN release: 20230525
Changed
 Docker image supports R 4.2.3

generate_syn_data
supportsvectorized_y
to accelerate data generation. 
matching_fun
–>dist_measure

matching_l1
–>matching_fn

estimate_semipmetric_erf
now takes thegam
models optional arguments. 
estimate_pmetric_erf
now takes thegnm
models optional arguments. 
trim_quantiles
–>exposure_trim_qtls

generate_pseudo_pop
function acceptsgps_obj
as an optional input. 
internal_use
is not part of parameters forestimate_gps
function. 
estimate_gps
function only returnsid
,w
, and computedgps
as part of dataset.  Now the design and analysis phases are explicitly separated.

gps_model
–>gps_density
. Now it takes,normal
andkernel
options instead ofparametric
andnonparametric
options.
CausalGPS 0.3.1 (20230515)
CRAN release: 20230516
Changed
 Some of unit tests have less accuracy to overcome the bug with
stats::density
function.
CausalGPS 0.3.0 (20230215)
CRAN release: 20230215
Changed
 Unit tests support new
wCorr
release (#193).  Only optimized compilation is supported. In the previous versions, this approach is known as
optimzied_compile == TRUE
.
CausalGPS 0.2.9 (20221216)
CRAN release: 20221216
Changed
 The process now prints the progress message based on the selected thresholds.
 In
estimate_npmetric_erf
:
matched_Y
–>m_Y

matched_w
–>m_w

matched_cw
–>counter_weight

 In
estimate_npmetric_erf
function, thematched_cw
input is now mandatory.  Internal kernel smoothing now uses
locpol::locpol
function.  The entire data set is trimmed based on trimming quantiles.

earth
andranger
are not installed automatically. They can be installed manually if needed. 
sysdata.rda
is modified to reflect transition fromcounter
andipw
tocounter_weight

counter_weight
is used as a counter or weight, inmatching
orweighting
approaches.counter
andipw
are dropped. 
sl_lib
becomes a required argument.  The package has been transferred into NSAPHSoftware Github account.
 Summary function of
gpsm_pspop
S3 object returns details of the adjusting process.
Added
 Now
KolmogorovSmirnov(KS)
statistics are provided for the computed pseudo population. 
effect size
for the generated pseudo population is computed and reported.  Binary search approach is used when scale = 1.

pseodo_pop
also includes covariate column names. 
compute_closest_wgps_helper_no_sc
is added to take care of the mostly used special case (scale = 1).
CausalGPS 0.2.8 (20220622)
CRAN release: 20220622
Fixed
 Message for not implemented methods changed to reduce misunderstanding.
 Empty counter will raise error in estimating nonparametric response function.
Changed
 matching_l1 returns frequency table instead of entire vector.
 Vectorized population compilation and used data.table for multithread assignment.
 Removed nested parallelism in compiling pseudo population, which results in close control on memory.
 estimate_npmetric_erf also returns optimal h and risk values.
CausalGPS 0.2.6 (20210906)
CRAN release: 20210906
Added
 added the status of optimized compile to generate_pseudo_pop function output.
 compute_closest_wgps accepts the number of userdefined threads.
Changed
 Vignette file names.
 The trim condition from > and < into >= and <=.
 Removed seed input from generate_syn_data function. In R package, setting seed value inside function is not recommended. Users can set the seed before using the function.
 OpenMP uses user defined number of cores.
CausalGPS 0.2.4 (20210711)
Changed
 estimate_gps.Rmd
 estimate_semi_erf > estimate_semipmetric_erf
 estimate_erf > estimate_npmetric_erf
 estimate_hr > estimate_pmetric_erf
 gen_pseudo_pop > generate_pseudo_pop
 gen_syn_data > generate_syn_data
 estimate_erf accepts counter as an input
 estimate_erf can use multiple cores
 generating_pseudo_population.Rmd
 estimate_erf function description
 estimate_hr function description
 estimate_semi_erf function description
 compute_risk function description and return value
 outcome_models.Rmd
 generate_synthetic_data.Rmd