RapidoPGS 2.3.0.9002 2024-09-30
type
by trait
within rapidopgs_multi()
to match the parameter call.RapidoPGS 2.3.0.9001 2024-09-04
check_dataset()
in runsusie()
requiring sdY for quantitative traits in rapidopgs_multi()
. SuSiE doesn't require it so we know detect if type = "quant"
and pass sdY = 1
onto runsusie()
.RapidoPGS 2.3.0 2023-10-12
rapidopgs_multi()
to accommodate updates in both coloc
and susieR
. This involved adding some arguments (N, sample size), and removing others (pi_i, prior probability, now automatically computed by SuSiE). We also now allow the user to supply their own LD block file for non-European GWAS.gwascat.download()
to accommodate the new GWAS catalog file structure. Now it is more interactive, providing extra flexibility.RapidoPGS 2.2.0.9000 2022-06-15
RapidoPGS 2.1.0.9009 2021-09-28
rapidopgs_multi()
, which is no longer required.RapidoPGS 2.1.0.9008 2021-08-13
RapidoPGS 2.1.0.9007 2021-07-13
runsusie()
in rapidopgs_multi()
that used to supply an extra zero element which is not supplied anymore.RapidoPGS 2.1.0.9006 2021-07-12
rapidopgs_multi()
is not supplied input of data.table class.runsusie()
internal function that was preventing rapidopgs_multi()
to run properly.RapidoPGS 2.1.0.9005 2021-07-09
RapidoPGS 2.1.0.9004 2021-06-17
RapidoPGS 2.1.0.9003 2021-06-09
rapidopgs_multi()
.RapidoPGS 2.1.0.9002 2021-06-08
RapidoPGS 2.1.0.9001 2021-04-14
rapidopgs_multi()
and minor changes in rapidopgs_single()
vignette.michailidou19
, analogous to michailidou
but in hg19 build, required for rapidopgs_multi()
examples.2021-03-08
rapidopgs_multi()
, which now allows to use pre-computed LD matrices.rapidopgs_multi()
now uses a different susie implementation, as implemented in coloc
package.rapidopgs_multi()
added parameters to select trait type, as well as path to LD matrices, and sample size for the dataset used for LD matrix computation.coloc
added as a dependency.RapidoPGS 2.0.0.9001 2021-01-27
rapidopgs_single()
that prevented it for running for quantitative traits.rapidopgs_single()
.2020-12-17
computePGS()
to rapidopgs_single()
.rapidopgs_single()
dropped the requirement for MAF for case-control traits.rapidopgs-single()
added a parameter to select type of trait (case-control or quantitative) of the dataset used in the call.rapidopgs_multi()
function added, which applies SuSiE method to PGS computing.susieR
added as a dependency.create_1000G()
added, which automatically download and sets up a reference panel for rapidopgs_multi()
from 1000 Genomes Phase III.sd.prior.est()
function added to use heritability estimates to create an informed SD prior.2020-08-03
2020-07-24