This package is considered a duplicate. The official version of this package is found at:https://richjjackson.r-universe.dev/psc

Package: psc 1.0.0

Richard Jackson

psc: Personalised Synthetic Controls

Allows the comparison of data cohorts (DC) against a Counter Factual Model (CFM) and measures the difference in terms of an efficacy parameter. Allows the application of Personalised Synthetic Controls.

Authors:Richard Jackson [cre, aut]

psc_1.0.0.tar.gz
psc_1.0.0.tar.gz(r-4.5-noble)psc_1.0.0.tar.gz(r-4.4-noble)
psc_1.0.0.tgz(r-4.4-emscripten)psc_1.0.0.tgz(r-4.3-emscripten)
psc.pdf |psc.html✨
psc/json (API)
NEWS

# Install 'psc' in R:

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

Bug tracker:https://github.com/richjjackson/psc/issues

Datasets:

bin.mod - Example model for a survival outcome
cont.mod - Cont.mod
count.mod - Example model for a survival outcome
data - Example Dataset of patients with aHCC receiving Lenvetanib
surv.mod - Example model for a survival outcome

2.93 score 17 scripts 87 downloads 6 exports 55 dependencies

Last updated 5 days agofrom:7b24e0e000. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Nov 25 2024
R-4.5-linux	OK	Nov 25 2024

Exports:dataComb linPred modelExtract pscfit pscSumm surv_fpm

Dependencies:assertthat bbmle bdsmatrix BH cli colorspace cpp11 data.table deSolve dplyr enrichwith fansi farver fastGHQuad flexsurv generics ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv mstate muhaz munsell mvtnorm nlme numDeriv pillar pkgconfig purrr quadprog R6 RColorBrewer Rcpp RcppArmadillo rlang rstpm2 scales statmod stringi stringr survival tibble tidyr tidyselect utf8 vctrs viridisLite withr

psc-vignette

Richard Jackson

Rendered frompsc-vignette.Rmdusingknitr::rmarkdownon Nov 25 2024.

Last update: 2024-11-20
Started: 2024-11-20

Citation

Readme and manuals

Help Manual

Help page	Topics
acc	acc
Example model for a survival outcome	bin.mod
Returns the coefficeint estimate of a psc object.	coef.psc
cont.mod	cont.mod
Example model for a survival outcome	count.mod
Example Dataset of patients with aHCC receiving Lenvetanib	data
A generic function for cleaning data ready for analysis	dataComb
Fucntion for cleaning the data of a model with class 'flexsurvreg'	dataComb.flexsurvreg
Fucntion for cleaning the data of a model with class 'flexsurvreg'	dataComb.glm
Fucntion for estimating initial parameter values 'flexsurvreg'	initParm
Fucntion for estimating initial parameter values 'flexsurvreg'	initParm.flexsurvreg
Fucntion for estimating initial parameter values 'flexsurvreg'	initParm.glm
Likelihood functio for a a psc model of class 'flexsurvreg'	lik.flexsurvreg
Likelihood functio for a a psc model of class 'flexsurvreg'	lik.flexsurvreg.mtc
Likelihood functio for a a psc model of class 'glm'	lik.glm
Likelihood functio for a a psc model of class 'flexsurvreg'	lik.glm.mtc
Estimates the linear predictor of a psc object	linPred
A generic function for extracting model information	modelExtract
A generic function for extracting model information	modelExtract.flexsurvreg
A generic function for extracting model information	modelExtract.glm
modp	modp
Fucntion for Plotting PSC objects	plot.psc
Personalised Synthetic Controls - print	print.psc
Wrapper function for individual treatment effects	psc_ite
Fitted 'psc' object	psc.object
Function for performing estimation procedures in 'pscfit'	pscEst
Fucntion for estimating initial parameter values 'flexsurvreg'	pscEst.flexsurvreg
Fucntion for estimating initial parameter values 'glm'	pscEst.glm
Personalised Synthetic Controls model fit	pscfit
Personalised Synthetic Controls - summary	pscSumm
Personalised Synthetic Controls - summary	summary.psc
modp	surv_fpm
Example model for a survival outcome	surv.mod