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All functions

ALL_colosimo_table_4_1
Acute Lymphoblastic Leukemia, table 4.1
ALL_colosimo_table_4_3
Acute Lymphoblastic Leukemia, table 4.3
Fibers
Tensile strengths
NegInv_link()
Negative inverse link function (for estimation with maxlogL object)
TTTE_Analytical()
Empirical Total Time on Test (TTT), analytic version.
TTT_hazard_shape()
Hazard Shape estimation from TTT plot
bootstrap_maxlogL()
Bootstrap computation of standard error for maxlogL class objects.
coef(<maxlogL>) coefMany()
Extract Model Coefficients in a maxlogL Fits
cum_hazard.maxlogL()
Cumuative hazard function of a maxlogLreg model.
cum_hazard_fun()
Cumulative hazard functions for any distribution
expected_value()
Expected value of a given function for any distribution
expected_value.maxlogL()
Expected value of a maxlogLreg model.
gauss_quad()
Numerical integration through Gaussian Quadrature
half_norm_key()
Half normal key function
hazard_fun()
Hazard functions for any distribution
hazard_rate_key()
Hazard rate key function
head_neck_cancer
Head and neck cancer
integration()
Integration
interp.options()
Configure various aspects of interpolating function in TTT_hazard_shape
is.maxlogL() is.EmpiricalTTT() is.HazardShape() is.optimizer.config()
Is return of any object of EstimationTools?
legend.HazardShape()
Customize legend for plot.HazardShape outputs
loess.options()
Configure various aspects of LOESS in TTT_hazard_shape
log_link()
Logarithmic link function (for estimation with maxlogL object)
logit_link()
Logit link function (for estimation with maxlogL object)
maxlogL()
Maximum Likelihood Estimation for parametric distributions
maxlogLreg()
Maximum Likelihood Estimation for parametric linear regression models
plot(<EmpiricalTTT>)
Plot method for EmpiricalTTT objects
plot(<HazardShape>)
Plot of HazardShape objects
plot(<maxlogL>)
Plot Residual Diagnostics for an maxlogL Object
predict(<maxlogL>)
Predict Method for maxlogL Fits
print(<HazardShape>)
Print method for HazardShape objects
reduction_cells
Reduction cells
residuals(<maxlogL>)
Extract Residuals from maxlogL model.
set_optimizer()
Set custom optimizer in maxlogLreg
summary(<maxlogL>)
Summarize Maximum Likelihood Estimation
summate()
Summation of One-Dimensional Functions
uniform_key()
Uniform key function