Evaluating risk (that a patient arises a side effect) during hospitalization is the main purpose of this package. Several methods (Parametric, non parametric and De Vielder estimation) to estimate the risk constant (R) are implemented in this package. There are also functions to simulate the different models of this issue in order to quantify the previous estimators. It is necessary to read at least the first six pages of the report to understand the topic.
|Author||Christophe Dutang and Julie Barthes|
|Date of publication||2015-07-20 18:19:56|
|Maintainer||Christophe Dutang <firstname.lastname@example.org>|
|License||GPL (>= 2)|
adequadExp: test the adequation of a random variable to the exponential...
calcErrorDV: compute the bias, variance of the De Vielder approximation
calcErrorNonParam: compute the bias, variance of the non parametric estimator
calcErrorParam: compute the bias, variance of the non parametric estimator
DV: implements the De Vielder approximation
estimDV: compute the De Vielder estimator
estimNonParam: compute the parametric estimation
estimParam: compute the parametric estimation
histo: plot the histogram of the variable T
KM: plots a survival function with a Kaplan Meier variant
mainSimul: simulate many times the first model and calculate the risk...
mainSimul2: simulate many times the second model
makeSample: create a sample of the first model stored in a file
makeSample2: create a sample of the second model stored in a file
simul: simulate the first model of the hospital risk
simul2: simulate the second model of the hospital risk
Table: make an array of bias, variance and R for different...