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
Check_Strata_Model(): Checks the default value for a given model, if every parameter were 0
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>): Predicts how many events are due to baseline vs excess for a completed poisson model
EventAssignment(<poisresbound>): Predicts how many events are due to baseline vs excess for a completed poisson likelihood boundary regression
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 Residuals for a completed poisson 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