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RISCA  

Causal Inference and Prediction in Cohort-Based Analyses
View on CRAN: Click here


Download and install RISCA package within the R console
Install from CRAN:
install.packages("RISCA")

Install from Github:
library("remotes")
install_github("cran/RISCA")

Install by package version:
library("remotes")
install_version("RISCA", "1.0.5")



Attach the package and use:
library("RISCA")
Maintained by
Yohann Foucher
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-31
Latest Update: 2024-01-24
Description:
Numerous functions for cohort-based analyses, either for prediction or causal inference. For causal inference, it includes Inverse Probability Weighting and G-computation for marginal estimation of an exposure effect when confounders are expected. We deal with binary outcomes, times-to-events, competing events, and multi-state data. For multistate data, semi-Markov model with interval censoring may be considered, and we propose the possibility to consider the excess of mortality related to the disease compared to reference lifetime tables. For predictive studies, we propose a set of functions to estimate time-dependent receiver operating characteristic (ROC) curves with the possible consideration of right-censoring times-to-events or the presence of confounders. Finally, several functions are available to assess time-dependent ROC curves or survival curves from aggregated data.
How to cite:
Yohann Foucher (2020). RISCA: Causal Inference and Prediction in Cohort-Based Analyses. R package version 1.0.5, https://cran.r-project.org/web/packages/RISCA
Previous versions and publish date:
0.8.1 (2020-03-31 23:10), 0.8.2 (2020-04-05 02:00), 0.8 (2019-08-05 13:00), 0.9 (2020-11-18 21:20), 1.0.1 (2022-05-02 15:40), 1.0.3 (2022-11-21 23:00), 1.0.4 (2023-03-22 19:50)
Other packages that cited RISCA R package
View RISCA citation profile
Other R packages that RISCA depends, imports, suggests or enhances
Functions, R codes and Examples using the RISCA R package
Some associated functions: aft.gamma . aft.ggamma . aft.llogis . aft.weibull . auc . cox.aic . cox.all . cox.en . cox.lasso . cox.ridge . dataCSL . dataDIVAT1 . dataDIVAT2 . dataDIVAT3 . dataDIVAT4 . dataDIVAT5 . dataFTR . dataHepatology . dataKTFS . dataKi67 . dataOFSEP . dataSTR . differentiation . expect.utility1 . expect.utility2 . fr.ratetable . gc.logistic . gc.sl.binary . gc.sl.time . gc.survival . hr.sl.time . ipw.log.rank . ipw.survival . lines.rocrisca . lrs.multistate . markov.3states . markov.3states.rsadd . markov.4states . markov.4states.rsadd . metric . mixture.2states . nnet.time . ph.exponential . ph.gompertz . plot.rocrisca . plot.sl.time . plot.survrisca . port . predict.cox . predict.flexsurv . predict.mixture.2states . predict.nnet.time . predict.rf.time . predict.sl.time . rf.time . rmst . roc.binary . roc.net . roc.prognostic.aggregate . roc.prognostic.individual . roc.summary . roc.time . semi.markov.3states.ic . semi.markov.3states . semi.markov.3states.rsadd . semi.markov.4states . semi.markov.4states.rsadd . sl.time . summary.sl.time . survival.mr . survival.summary . survival.summary.strata . tune.cox.aic . tune.cox.en . tune.cox.lasso . tune.cox.ridge . tune.nnet.time . tune.rf.time . 
Some associated R codes: aft.gamma.R . aft.ggamma.R . aft.llogis.R . aft.weibull.R . auc.R . cox.aic.R . cox.all.R . cox.en.R . cox.lasso.R . cox.ridge.R . differentiation.R . expect.utility1.R . expect.utility2.R . gc.logistic.R . gc.sl.binary.R . gc.sl.time.R . gc.survival.R . hr.sl.time.R . ipw.log.rank.R . ipw.survival.R . lines.rocrisca.R . lrs.multistate.R . markov.3states.R . markov.3states.rsadd.R . markov.4states.R . markov.4states.rsadd.R . metric.R . mixture.2states.R . nnet.time.R . ph.exponential.R . ph.gompertz.R . plot.rocrisca.R . plot.sl.time.R . plot.survrisca.R . port.R . pred.mixture.2states.R . predict.cox.R . predict.flexsurv.R . predict.nnet.time.R . predict.rf.time.R . predict.sl.time.R . rf.time.R . rmst.R . roc.binary.R . roc.net.R . roc.prognostic.aggregate.R . roc.prognostic.individual.R . roc.summary.R . roc.time.R . semi.markov.3states.R . semi.markov.3states.ic.R . semi.markov.3states.rsadd.R . semi.markov.4states.R . semi.markov.4states.rsadd.R . sl.time.R . summary.sl.time.R . survival.mr.R . survival.summary.R . survival.summary.strata.R . tune.cox.aic.R . tune.cox.en.R . tune.cox.lasso.R . tune.cox.ridge.R . tune.nnet.time.R . tune.rf.time.R .  Full RISCA package functions and examples
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