Title: Tools for Healthcare Machine Learning
Description: A machine learning toolbox tailored to healthcare data.
Aids in data cleaning, model development, hyperparameter tuning, and model
deployment in a production 'SQL' environment. Algorithms currently supported
are Lasso, Random Forest, Extreme Gradient Boosting, K-means clustering, and Linear Mixed Modeling.
Author: Levi Thatcher [aut],
Michael Levy [aut, cre],
Mike Mastanduno [aut],
Taylor Larsen [aut],
Taylor Miller [aut]
Maintainer: Michael Levy <michael.levy@healthcatalyst.com>
Diff between healthcareai versions 1.2.0 dated 2017-10-27 and 1.2.3 dated 2017-12-22
DESCRIPTION | 13 - MD5 | 36 ++- NAMESPACE | 8 R/common-connections.R | 1 R/common-date-time.R | 116 ++++++----- R/common-find-variation.R | 172 +++++++++-------- R/common-nelson-rules.R |only R/healthcareai.R | 4 R/random-forest-development.R | 75 ++++--- R/risk-adjusted-comparisons.R | 8 R/use-globals.R |only README.md | 1 inst/docs/model-pre-processing/seasonality-handling.md | 6 inst/extdata/unit-test.sqlite |binary man/convertDateTimeColToDummies.Rd | 22 -- man/findVariation.Rd | 7 man/healthcareai.Rd | 4 man/nelsonRule1.Rd |only man/splitOutDateTimeCols.Rd |only man/variationAcrossGroups.Rd | 4 tests/testthat/test-nelson-rule-1.R |only tests/testthat/test-split-Out-Date-Time-Cols.R |only 22 files changed, 275 insertions(+), 202 deletions(-)
Title: SEC Filings Access
Description: A set of methods to access and parse live filing information from the
U.S. Securities and Exchange Commission (SEC - <https://sec.gov>) including
company and fund filings along with all associated metadata.
Author: Micah J Waldstein [aut, cre]
Maintainer: Micah J Waldstein <micah@waldste.in>
Diff between edgarWebR versions 0.2.1 dated 2017-10-31 and 0.3.0 dated 2017-12-22
edgarWebR-0.2.1/edgarWebR/R/parse_form_nq.R |only edgarWebR-0.3.0/edgarWebR/DESCRIPTION | 8 edgarWebR-0.3.0/edgarWebR/MD5 | 141 edgarWebR-0.3.0/edgarWebR/NAMESPACE | 4 edgarWebR-0.3.0/edgarWebR/R/browse_edgar.R | 4 edgarWebR-0.3.0/edgarWebR/R/company_details.R | 10 edgarWebR-0.3.0/edgarWebR/R/company_filings.R | 8 edgarWebR-0.3.0/edgarWebR/R/company_information.R | 6 edgarWebR-0.3.0/edgarWebR/R/filing_details.R | 2 edgarWebR-0.3.0/edgarWebR/R/filing_documents.R | 4 edgarWebR-0.3.0/edgarWebR/R/filing_filers.R | 14 edgarWebR-0.3.0/edgarWebR/R/filing_funds.R | 2 edgarWebR-0.3.0/edgarWebR/R/filing_information.R | 6 edgarWebR-0.3.0/edgarWebR/R/full_text.R |only edgarWebR-0.3.0/edgarWebR/R/header_search.R |only edgarWebR-0.3.0/edgarWebR/R/latest_filings.R |only edgarWebR-0.3.0/edgarWebR/R/map_xml.R | 14 edgarWebR-0.3.0/edgarWebR/R/parse_filing.R | 152 edgarWebR-0.3.0/edgarWebR/R/parse_submission.R | 4 edgarWebR-0.3.0/edgarWebR/R/utils.R | 38 edgarWebR-0.3.0/edgarWebR/README.md | 24 edgarWebR-0.3.0/edgarWebR/build/vignette.rds |binary edgarWebR-0.3.0/edgarWebR/inst/doc/edgarWebR.R | 26 edgarWebR-0.3.0/edgarWebR/inst/doc/edgarWebR.Rmd | 36 edgarWebR-0.3.0/edgarWebR/inst/doc/edgarWebR.html | 110 edgarWebR-0.3.0/edgarWebR/inst/doc/parsing.R | 45 edgarWebR-0.3.0/edgarWebR/inst/doc/parsing.Rmd | 46 edgarWebR-0.3.0/edgarWebR/inst/doc/parsing.html | 65 edgarWebR-0.3.0/edgarWebR/man/company_details.Rd | 6 edgarWebR-0.3.0/edgarWebR/man/company_filings.Rd | 2 edgarWebR-0.3.0/edgarWebR/man/filing_details.Rd | 2 edgarWebR-0.3.0/edgarWebR/man/full_text.Rd |only edgarWebR-0.3.0/edgarWebR/man/header_search.Rd |only edgarWebR-0.3.0/edgarWebR/man/latest_filings.Rd |only edgarWebR-0.3.0/edgarWebR/man/map_xml.Rd | 5 edgarWebR-0.3.0/edgarWebR/man/parse_submission.Rd | 2 edgarWebR-0.3.0/edgarWebR/man/parse_text_filing.Rd |only edgarWebR-0.3.0/edgarWebR/tests/cache/cgi-bin/browse-edgar-11457c.R | 8183 ++++------ edgarWebR-0.3.0/edgarWebR/tests/cache/cgi-bin/browse-edgar-3731bc.R | 7953 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edgarWebR-0.3.0/edgarWebR/tests/cache/data/1396009/000139600916000044/vmc-20151231x10k.htm.R | 40 edgarWebR-0.3.0/edgarWebR/tests/cache/data/1399855 |only edgarWebR-0.3.0/edgarWebR/tests/cache/data/1424844 |only edgarWebR-0.3.0/edgarWebR/tests/cache/data/31791 |only edgarWebR-0.3.0/edgarWebR/tests/cache/data/320193/000162828017000663/a8-kq1201712312016.htm.R | 36 edgarWebR-0.3.0/edgarWebR/tests/cache/data/37996/000003799602000015 |only edgarWebR-0.3.0/edgarWebR/tests/cache/data/37996/000003799617000013/f1231201610-k.htm.R | 36 edgarWebR-0.3.0/edgarWebR/tests/cache/data/37996/000003799617000084/0000037996-17-000084.txt.R | 40 edgarWebR-0.3.0/edgarWebR/tests/cache/data/38264/000100329716000907/forward10k.htm.R | 40 edgarWebR-0.3.0/edgarWebR/tests/cache/data/39899/000003989916000034/tgna-20151231x10k.htm.R | 40 edgarWebR-0.3.0/edgarWebR/tests/cache/data/4281/000119312516470162/d216801d10k.htm.R | 40 edgarWebR-0.3.0/edgarWebR/tests/cache/data/712515/000071251517000010/ea12312016-q3fy1710qdoc.htm.R | 40 edgarWebR-0.3.0/edgarWebR/tests/cache/data/732712/000119312509036349/d10k.htm#tx90102_1.R | 56 edgarWebR-0.3.0/edgarWebR/tests/cache/data/794367/000079436713000092/m-02022013x10k.htm.R | 56 edgarWebR-0.3.0/edgarWebR/tests/cache/data/826083/000095013406005149/d33857e10vk.htm.R | 60 edgarWebR-0.3.0/edgarWebR/tests/cache/data/878560/000087856012000008/form10-k.htm.R | 60 edgarWebR-0.3.0/edgarWebR/tests/cache/data/878560/000087856014000007/form10-k.htm.R | 56 edgarWebR-0.3.0/edgarWebR/tests/cache/data/920760/000162828017000327/0001628280-17-000327-index.htm.R | 46 edgarWebR-0.3.0/edgarWebR/tests/cache/data/933691/000093369117000309/0000933691-17-000309-index.htm.R | 46 edgarWebR-0.3.0/edgarWebR/tests/cache/searchwww.sec.gov |only edgarWebR-0.3.0/edgarWebR/tests/testthat/helper_mock.R | 17 edgarWebR-0.3.0/edgarWebR/tests/testthat/test_company_details.R | 5 edgarWebR-0.3.0/edgarWebR/tests/testthat/test_filing_documents.R | 6 edgarWebR-0.3.0/edgarWebR/tests/testthat/test_filing_information.R | 5 edgarWebR-0.3.0/edgarWebR/tests/testthat/test_full_text.R |only edgarWebR-0.3.0/edgarWebR/tests/testthat/test_header_search.R |only edgarWebR-0.3.0/edgarWebR/tests/testthat/test_latest_filings.R |only edgarWebR-0.3.0/edgarWebR/tests/testthat/test_parse_filing.R | 18 edgarWebR-0.3.0/edgarWebR/tests/testthat/test_parse_text_filing.R |only edgarWebR-0.3.0/edgarWebR/vignettes/edgarWebR.Rmd | 36 edgarWebR-0.3.0/edgarWebR/vignettes/parsing.Rmd | 46 81 files changed, 9181 insertions(+), 8960 deletions(-)
More information about conformalClassification at CRAN
Permanent link
Title: SPArse Matrix
Description: Set of functions for sparse matrix algebra.
Differences with other sparse matrix packages are:
(1) we only support (essentially) one sparse matrix format,
(2) based on transparent and simple structure(s),
(3) tailored for MCMC calculations within G(M)RF.
(4) and it is fast and scalable (with the extension package spam64).
Author: Reinhard Furrer [aut, cre],
Florian Gerber [ctb],
Daniel Gerber [ctb],
Kaspar Moesinger [ctb],
Youcef Saad [ctb] (SPARSEKIT
http://www-users.cs.umn.edu/~saad/software/SPARSKIT/),
Esmond G. Ng [ctb] (Fortran Cholesky routines),
Barry W. Peyton [ctb] (Fortran Cholesky routines),
Joseph W.H. Liu [ctb] (Fortran Cholesky routines),
Alan D. George [ctb] (Fortran Cholesky routines)
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>
Diff between spam versions 2.1-1 dated 2017-07-03 and 2.1-2 dated 2017-12-22
spam-2.1-1/spam/R/rep_len_long.R |only spam-2.1-1/spam/src/rep_len_long.c |only spam-2.1-1/spam/tests/testthat.Rout.save |only spam-2.1-2/spam/DESCRIPTION | 25 +- spam-2.1-2/spam/MD5 | 162 +++++++------- spam-2.1-2/spam/R/apply.R | 19 + spam-2.1-2/spam/R/constructors.R | 19 + spam-2.1-2/spam/R/covmat.R | 19 + spam-2.1-2/spam/R/definitions.R | 77 +++--- spam-2.1-2/spam/R/deprecated.R | 18 + spam-2.1-2/spam/R/diff.R | 19 + spam-2.1-2/spam/R/dim.R | 25 +- spam-2.1-2/spam/R/dist.R | 23 + spam-2.1-2/spam/R/foreign.R | 19 + spam-2.1-2/spam/R/helper.R | 21 + spam-2.1-2/spam/R/kronecker.R | 25 +- spam-2.1-2/spam/R/math.R | 29 +- spam-2.1-2/spam/R/mle.R | 19 + spam-2.1-2/spam/R/norm.R | 19 + spam-2.1-2/spam/R/permutation.R | 21 + spam-2.1-2/spam/R/plotting.R | 19 + spam-2.1-2/spam/R/precmat.R | 19 + spam-2.1-2/spam/R/profile.R | 38 ++- spam-2.1-2/spam/R/rep_len64.R |only spam-2.1-2/spam/R/rmvnorm.R | 19 + spam-2.1-2/spam/R/rowcolstats.R | 27 +- spam-2.1-2/spam/R/s3only.R | 19 + spam-2.1-2/spam/R/s4coerce.R | 19 + spam-2.1-2/spam/R/spam_solve.R | 39 ++- spam-2.1-2/spam/R/spamlist.R | 27 +- spam-2.1-2/spam/R/subset.R | 23 + spam-2.1-2/spam/R/summary.R | 19 + spam-2.1-2/spam/R/tailhead.R | 19 + spam-2.1-2/spam/R/tcrossprod.R | 19 + spam-2.1-2/spam/R/toepliz.R | 27 +- spam-2.1-2/spam/R/xybind.R | 23 + spam-2.1-2/spam/build/vignette.rds |binary spam-2.1-2/spam/inst/CITATION | 19 + spam-2.1-2/spam/inst/NEWS | 25 ++ spam-2.1-2/spam/man/import.Rd | 2 spam-2.1-2/spam/man/large_matrix.Rd |only spam-2.1-2/spam/man/nearestdist.Rd | 27 +- spam-2.1-2/spam/man/spam-package.Rd | 13 - spam-2.1-2/spam/src/dist.f | 25 +- spam-2.1-2/spam/src/init.c | 5 spam-2.1-2/spam/tests/demo_article-jss-example1.R | 25 +- spam-2.1-2/spam/tests/demo_article-jss-example1.Rout.save | 31 +- spam-2.1-2/spam/tests/demo_article-jss-example2.R | 22 + spam-2.1-2/spam/tests/demo_article-jss-example2.Rout.save | 33 +- spam-2.1-2/spam/tests/demo_article-jss.R | 29 +- spam-2.1-2/spam/tests/demo_article-jss.Rout.save | 35 +-- spam-2.1-2/spam/tests/demo_cholesky.R | 29 +- spam-2.1-2/spam/tests/demo_cholesky.Rout.save | 35 +-- spam-2.1-2/spam/tests/demo_jss15-BYM.R | 22 + spam-2.1-2/spam/tests/demo_jss15-BYM.Rout.save | 28 +- spam-2.1-2/spam/tests/demo_jss15-Leroux.R | 23 + spam-2.1-2/spam/tests/demo_jss15-Leroux.Rout.save | 29 +- spam-2.1-2/spam/tests/demo_spam.R | 29 +- spam-2.1-2/spam/tests/demo_spam.Rout.save | 35 +-- spam-2.1-2/spam/tests/demo_timing.R | 29 +- spam-2.1-2/spam/tests/demo_timing.Rout.save | 35 +-- spam-2.1-2/spam/tests/jss_areal_counts.R | 25 +- spam-2.1-2/spam/tests/jss_areal_counts.Rout.save | 31 +- spam-2.1-2/spam/tests/testthat.R | 23 + spam-2.1-2/spam/tests/testthat/helper.R | 29 ++ spam-2.1-2/spam/tests/testthat/test-constructors.R | 23 + spam-2.1-2/spam/tests/testthat/test-covmat.R | 22 + spam-2.1-2/spam/tests/testthat/test-crossprod.R | 23 + spam-2.1-2/spam/tests/testthat/test-diff.R | 23 + spam-2.1-2/spam/tests/testthat/test-dim.R | 23 + spam-2.1-2/spam/tests/testthat/test-dist.R | 21 + spam-2.1-2/spam/tests/testthat/test-helper.R | 25 +- spam-2.1-2/spam/tests/testthat/test-kronecker.R | 27 +- spam-2.1-2/spam/tests/testthat/test-math.R | 29 +- spam-2.1-2/spam/tests/testthat/test-mle.R | 22 + spam-2.1-2/spam/tests/testthat/test-ops.R | 23 + spam-2.1-2/spam/tests/testthat/test-overall.R | 19 + spam-2.1-2/spam/tests/testthat/test-permutation.R | 22 + spam-2.1-2/spam/tests/testthat/test-profile.R | 24 +- spam-2.1-2/spam/tests/testthat/test-rep_len64.R |only spam-2.1-2/spam/tests/testthat/test-rowcolstats.R | 22 + spam-2.1-2/spam/tests/testthat/test-solve.R | 21 + spam-2.1-2/spam/tests/testthat/test-spamlist.R | 24 +- spam-2.1-2/spam/tests/testthat/test-subset.R | 23 + spam-2.1-2/spam/tests/testthat/test-xybind.R | 22 + 85 files changed, 1482 insertions(+), 564 deletions(-)
Title: Ratio-of-Uniforms Simulation with Transformation
Description: Uses the generalized ratio-of-uniforms (RU) method to simulate
from univariate and (low-dimensional) multivariate continuous distributions.
The user specifies the log-density, up to an additive constant. The RU
algorithm is applied after relocation of mode of the density to zero, and
the user can choose a tuning parameter r. For details see Wakefield, Gelfand
and Smith (1991) <DOI:10.1007/BF01889987>, Efficient generation of random
variates via the ratio-of-uniforms method, Statistics and Computing (1991)
1, 129-133. A Box-Cox variable transformation can be used to make the input
density suitable for the RU method and to improve efficiency. In the
multivariate case rotation of axes can also be used to improve efficiency.
From version 1.2.0 the 'Rcpp' package
<https://cran.r-project.org/package=Rcpp> can be used to improve efficiency.
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Diff between rust versions 1.3.3 dated 2017-12-17 and 1.3.4 dated 2017-12-22
DESCRIPTION | 10 +++++----- MD5 | 10 +++++----- NEWS.md | 6 ++++++ inst/doc/rust-using-rcpp-vignette.html | 32 ++++++++++++++++---------------- inst/doc/rust-vignette.html | 8 ++++---- inst/doc/rust-when-to-use-vignette.html | 4 ++-- 6 files changed, 38 insertions(+), 32 deletions(-)
Title: Fast and Simple 'MongoDB' Client for R
Description: High-performance 'MongoDB' client based on 'libmongoc' and 'jsonlite'.
Includes support for aggregation, indexing, map-reduce, streaming, encryption,
enterprise authentication. The online user manual provides an overview of the
available methods in the package: <https://jeroen.github.io/mongolite/>.
Author: Jeroen Ooms [aut, cre],
MongoDB, Inc [cph] (Bundled mongo-c-driver, see AUTHORS file)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between mongolite versions 1.3 dated 2017-12-20 and 1.4 dated 2017-12-22
DESCRIPTION | 6 +++--- MD5 | 16 ++++++++-------- NEWS | 4 ++++ src/mongoc/mongoc-client.c | 14 ++++++++++++-- src/mongoc/mongoc-cluster.c | 28 +++++++++++++++------------- src/mongoc/mongoc-cmd.c | 14 ++++++++++++-- src/mongoc/mongoc-topology-private.h | 4 ++++ src/mongoc/mongoc-topology.c | 28 ++++++++++++++++++++++++++++ src/reader.c | 17 +++++++++-------- 9 files changed, 95 insertions(+), 36 deletions(-)
Title: Recurrent Event Regression
Description: A collection of regression models for recurrent event process and failure time.
Available methods include these from Xu et al. (2017) <doi:10.1080/01621459.2016.1173557>,
Lin et al. (2000) <doi:10.1111/1467-9868.00259>,
Wang et al. (2001) <doi:10.1198/016214501753209031>,
Ghosh and Lin (2003) <doi:10.1111/j.0006-341X.2003.00102.x>, and
Huang and Wang (2004) <doi:10.1198/016214504000001033>.
Author: Sy Han (Steven) Chiou
Maintainer: Sy Han (Steven) Chiou <schiou@utdallas.edu>
Diff between reReg versions 1.0-0 dated 2015-10-31 and 1.1-0 dated 2017-12-22
reReg-1.0-0/reReg/R/plot.reReg.R |only reReg-1.1-0/reReg/ChangeLog | 8 reReg-1.1-0/reReg/DESCRIPTION | 20 reReg-1.1-0/reReg/MD5 | 35 reReg-1.1-0/reReg/NAMESPACE | 25 reReg-1.1-0/reReg/R/plot.R |only reReg-1.1-0/reReg/R/reReg.R | 997 +++++++++++++++++++------- reReg-1.1-0/reReg/R/reSurv.R | 48 - reReg-1.1-0/reReg/R/summary.R | 159 +++- reReg-1.1-0/reReg/data/readmission.rda |binary reReg-1.1-0/reReg/man/plot.reReg.Rd | 74 - reReg-1.1-0/reReg/man/plot.reSurv.Rd |only reReg-1.1-0/reReg/man/plotEvents.Rd |only reReg-1.1-0/reReg/man/plotHaz.Rd |only reReg-1.1-0/reReg/man/plotRate.Rd |only reReg-1.1-0/reReg/man/reReg-package.Rd | 14 reReg-1.1-0/reReg/man/reReg.Rd | 200 +++-- reReg-1.1-0/reReg/man/reSurv.Rd | 12 reReg-1.1-0/reReg/man/readmission.Rd | 28 reReg-1.1-0/reReg/src/Ghosh.c | 74 + reReg-1.1-0/reReg/src/reReg.c | 58 - reReg-1.1-0/reReg/src/registerDynamicSymbol.c |only 22 files changed, 1243 insertions(+), 509 deletions(-)
Title: Generalized Joint Attribute Modeling
Description: Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling.
Author: James S. Clark, Daniel Taylor-Rodriquez
Maintainer: James S. Clark <jimclark@duke.edu>
Diff between gjam versions 2.1.6 dated 2017-09-11 and 2.1.7 dated 2017-12-22
DESCRIPTION | 8 - MD5 | 24 ++--- R/gjamHfunctions.R | 195 +++++++++++++++++++++++++++++++++------------ R/gjamPredict.r | 5 - R/gjamTrimY.r | 2 inst/doc/gjamVignette.Rmd | 15 ++- inst/doc/gjamVignette.html | 41 +++++---- man/gjam-package.Rd | 4 man/gjam.Rd | 2 man/gjamPredict.Rd | 9 +- src/Makevars | 12 ++ src/Makevars.win | 12 ++ vignettes/gjamVignette.Rmd | 15 ++- 13 files changed, 240 insertions(+), 104 deletions(-)