Man pages for albgarre/biorisk
What the Package Does (One Line, Title Case)

BaranyiGrowthGrowth element based on the Baranyi model
BetaBeta Class
BetaBinomialBetaBinomial Class
BinomialBinomial Class
BiNormalA element simulating a 2D normal distribution
CardinalParameterModelR6 class describing the secondary Cardinal Parameter Model
compare_nodesCompares the output of several nodes
Concentration2DoseConcentration2Dose Class
Concentration2Dose_continuousConcentration2Dose_continuous Class
ConstantConstant Class
ContinuousElementContinuousElement Class
CorrelatedExpGrowthGrowth element based on exponential growth including...
DiscreteElementDiscreteElement Class
DiscreteGrowthDiscreteGrowth Class
DiscreteGrowthNmaxDiscreteGrowthNmax Class
DoseResponse_BetaPoissonDoseResponse_BetaPoisson Class
DoseResponse_ExponentialDoseResponse_Exponential Class
DynamicBigelow_1phaseR6 class describing log-linear inactivation under dynamic...
DynamicBigelow_2phaseR6 class describing log-linear inactivation under dynamic...
DynamicBigelow_3phaseR6 class describing log-linear inactivation under dynamic...
Dz_modelR6 class describing the secondary model for the D/z model
ElementDivisionElementDivision Class
ElementEqualToElementEqualTo Class
ElementExpElementExp Class
ElementGreaterEqualThanElementGreaterEqualThan Class
ElementGreaterThanElementGreaterThan Class
ElementLnElementLn Class
ElementLogElementLog Class
ElementLowerEqualThanElementLowerEqualThan Class
ElementLowerThanElementLowerThan Class
ElementMinusElementMinus Class
ElementPlusElementPlus Class
ElementPow10ElementPow10 Class
ElementPowerElementPower Class
ElementSqrtElementSqrt Class
ElementTimesElementTimes Class
EmpiricalDistrEmpiricalDistr Class
ExponentialExponential Class
ExponentialGrowthGrowth element based on exponential growth
ExponentialGrowthNmaxGrowth element based on exponential growth considering a...
FullRatkowsky_modelR6 class describing the secondary Full Ratkowsky model
FullRatkowsky_model_errorR6 class describing the secondary Full Ratkowsky model
FullRatkowsky_pH_modelR6 class describing the secondary Full Ratkowsky model...
GammaGamma Class
GammaFullRatkowsky_modelR6 class describing the secondary Full Ratkowsky model with...
GammaPoissonGammaPoisson Class
GeeraerdInactivationR6 class describing Geeraerd inactivation model
GeeraerdInactivation_noSLR6 class describing Geeraerd inactivation model without...
GeeraerdInactivation_noTailR6 class describing Geeraerd inactivation model without...
get_data_tornadoExtract data for the tornado plot
get_edgesGet edges for building a graph
get_namesGetting the names of the nodes
LagExponentialGrowthGrowth model with exponential phase + lag
LinealModelLineal model
LnNormalLnNormal Class
LogisticDistrLogisticDistr Class
LogisticGrowthGrowth element based on the logistic growth model
LogLinInactivationR6 class describing log-linear inactivation
LogLinInactivation_kR6 class describing log-linear inactivation parameterized as...
LogNormalLogNormal Class
MaxFilterFilters the output of a element according to a maximum value
MC_convergenceAnalysis of MC convergence
MinFilterFilters the output of a element according to a minimum value
MinMaxFilterFilters the output of a element according to both a minimum...
model_to_graphConvert a model to a graph
modGompertzGrowthGrowth element based on the modified Gompertz model
NormalNormal Class
ParetoPareto Class
PartitionBinomialA element to describe partition as a binomial process
PartitionPoissonA element to describe partition as a Poisson process
PelegInactivationR6 class describing a Weibull inactivation model
Peleg_secondaryR6 class describing the secondary model for the Peleg model
PertPert Class
Pill2Cases_1Pill2Cases_1 Class
Pill2Cases_NPill2Cases_N Class
plot_MC_analysisPlot of the MC convergence analysis
plot_modelPlotting a model
plot_outputsMakes a plot comparing the output of the chosen nodes
PoissonPoisson Class
predict_Bigelow_biphasicDynamic microbial inactivation for the Bigelow model with a...
predict_Bigelow_rampDynamic microbial inactivation for the Bigelow model with a...
predict_Bigelow_triphasicDynamic microbial inactivation for the Bigelow model with a...
Ratkowsky_modelR6 class describing the secondary Ratkowsky model...
Ratkowsky_model_errorR6 class describing the secondary Ratkowsky model...
regression_treeRegression tree of the output
resample_vector_medianResampling a vector with replacement several times
retrieve_outputsGets the output of all the nodes of a model
RichardsGrowthGrowth element based on the Richards growth model
RiskElementRiskElement Class
tornado_plotTornado plot
TriangularTriangular Class
TriangularSymTriangularSym Class
TrilinealGrowthGrowth model with exponential phase + lag
TrilinearInactivationR6 class describing Tri-linear inactivation
UniformUniform Class
VectorVector Class
WeibullWeibull Class
WeibullInactivationR6 class describing a Weibull primary inactivation
ZIPoissonZIPoisson Class
ZwieteringGammaR6 class describing the gamma coefficient using the...
albgarre/biorisk documentation built on Feb. 23, 2025, 5:19 a.m.