Package: pscore 0.4.1

pscore: Standardizing Physiological Composite Risk Endpoints

Provides a number of functions to simplify and automate the scoring, comparison, and evaluation of different ways of creating composites of data. It is particularly aimed at facilitating the creation of physiological composites of metabolic syndrome symptom score (MetSSS) and allostatic load (AL). Provides a wrapper to calculate the MetSSS on new data using the Healthy Hearts formula.

Authors:Joshua F. Wiley [aut, cre]

pscore_0.4.1.tar.gz
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pscore_0.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pscore/json (API)

# Install 'pscore' in R:

install.packages('pscore', repos = c('https://jwiley.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jwiley/score-project/issues

Datasets:

BioDB - Biomarker Thresholds Database
MetSSS_model - MetSSS Model

On CRAN:

4.51 score 1 stars 16 scripts 223 downloads 4 mentions 10 exports 125 dependencies

Last updated from:47c01cb6e1. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	226
source / vignettes	OK	251
linux-release-x86_64	OK	196
macos-release-arm64	OK	173
macos-oldrel-arm64	OK	113
windows-devel	OK	149
windows-release	OK	149
windows-oldrel	OK	159
wasm-release	OK	137

Exports:CompositeData CompositeReady dropData factorComposite mahalanobisComposite MetSSS MetSSS_model predictCS prepareComposite sumComposite

Dependencies:abind backports bit bit64 boot broom car carData cli clipr codetools colorspace corrplot cowplot cpp11 crayon data.table DEoptimR Deriv digest doBy dplyr emmeans estimability extraoperators farver forcats foreach forecast Formula fracdiff fst fstcore gamlss gamlss.data gamlss.dist generics ggplot2 ggpubr ggrepel ggsci ggsignif glmnet glue GPArotation gridExtra gtable haven hms isoband iterators jomo JWileymisc labeling lattice lavaan lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv mice microbenchmark minqa mitml mnormt modelr multcompView mvtnorm nlme nloptr nnet numDeriv ordinal pan pbivnorm pbkrtest pillar pkgconfig plyr polynom prettyunits progress psych purrr quadprog quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack readr reformulas reshape2 rlang robustbase rpart rstatix S7 scales shape SparseM stringi stringr survival tibble tidyr tidyselect timeDate tzdb ucminf urca utf8 vctrs VGAM viridisLite vroom withr zoo

Metabolic Syndrom Severity Score (MetSSS)

Rendered frommetsss.Rmdusingknitr::rmarkdown

Last update: 2022-05-13
Started: 2022-05-11

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Internal function to prepare data for prediction	.preparePredict
Biomarker Thresholds Database	BioDB
An constructor function for the S4 CompositeData class	CompositeData
A S4 class to represent data for creating a composite	CompositeData-class
An constructor function for the S4 CompositeReady class	CompositeReady
An S4 class to represent composite ready data	CompositeReady-class
Drop unnecessary data from a MahalanobisComposite object.	dropData
Score Data Using a Factor Model	factorComposite
Density Plot for a Long Dataset	ldensity
Score Data Using the Mahalanobis Distance	mahalanobisComposite
An S4 class to represent composite scores based on Mahalanobis distance	FactorScores-class MahalanobisScores-class SumScores-class
Score the MetSSS	MetSSS
MetSSS Model	MetSSS_model
Internal function to prepare data for prediction	predictCS
Prepare distance scores on data in preparation for composite scoring	prepareComposite
Score Data Using a simple sum	sumComposite