Package index • Colossus

All functions

CaseControlRun(): Fully runs a case-control regression model, returning the model and results

Check_Iters(): Automatically checks the number of starting guesses

ColossusCoxSurv(): Interprets basic cox survival formula RHS

ColossusLogitSurv(): Interprets basic logistic survival formula RHS with no grouping

ColossusPoisSurv(): Interprets basic poisson survival formula RHS

CoxRun(): Fully runs a cox or fine-gray regression model, returning the model and results

CoxRunMulti(): Fully runs a cox or fine-gray regression model with multiple column realizations, returning the model and results

Date_Shift(): Automates creating a date difference column

EventAssignment(): Generic background/excess event calculation function

EventAssignment(<default>): Predicts how many events are due to baseline vs excess

EventAssignment(<poisres>): Calculates the likelihood boundary for a completed cox model

Event_Count_Gen(): uses a table, list of categories, and list of event summaries to generate person-count tables

Event_Time_Gen(): uses a table, list of categories, list of summaries, list of events, and person-year information to generate person-time tables

Joint_Multiple_Events(): Automates creating data for a joint competing risks analysis

LikelihoodBound(): Generic likelihood boundary calculation function

LikelihoodBound(<coxres>): Calculates the likelihood boundary for a completed cox model

LikelihoodBound(<default>): Generic likelihood boundary calculation function, default option

LikelihoodBound(<poisres>): Calculates the likelihood boundary for a completed Poisson model

Likelihood_Ratio_Test(): Defines the likelihood ratio test

Linked_Dose_Formula(): Calculates Full Parameter list for Special Dose Formula

Linked_Lin_Exp_Para(): Calculates The Additional Parameter For a linear-exponential formula with known maximum

LogisticRun(): Fully runs a logistic regression model, returning the model and results

OMP_Check(): Checks the OMP flag

PoisRun(): Fully runs a poisson regression model, returning the model and results

PoisRunJoint(): Fully runs a joint poisson regression model, returning the model and results

PoisRunMulti(): Fully runs a poisson regression model with multiple column realizations, returning the model and results

RelativeRisk(): Generic relative risk calculation function

RelativeRisk(<coxres>): Calculates hazard ratios for a reference vector

RelativeRisk(<default>): Generic relative risk calculation function, default option

Replace_Missing(): Automatically assigns missing values in listed columns

Residual(): Generic Residual calculation function

Residual(<default>): Generic Residual calculation function, default option

Residual(<poisres>): Calculates the likelihood boundary for a completed cox model

RunCaseControlRegression_Omnibus(): Performs Matched Case-Control Conditional Logistic Regression

RunCoxRegression_Omnibus(): Performs Cox Proportional Hazards regression using the omnibus function

RunLogisticRegression_Omnibus(): Performs basic Logistic regression using the omnibus function

RunPoissonRegression_Omnibus(): Performs basic Poisson regression using the omnibus function

System_Version(): Checks OS, compilers, and OMP

Time_Since(): Automates creating a date since a reference column

apply_norm(): Automatically applies a normalization to either an input or output

factorize(): Splits a parameter into factors

gen_time_dep(): Applies time dependence to parameters

get_form(): Interprets a Colossus formula and makes necessary changes to data

get_form_joint(): Interprets a Poisson joint formula and makes necessary changes to data

plot(<coxres>): Performs Cox Proportional Hazard model plots

print(<caseconres>): Prints a case-control regression output clearly

print(<coxres>): Prints a cox regression output clearly

print(<coxresbound>): Prints a cox likelihood boundary regression output clearly

print(<logitres>): Prints a logistic regression output clearly

print(<poisres>): Prints a poisson regression output clearly

print(<poisresbound>): Prints a poisson likelihood boundary regression output clearly