| restriktor-package |
Package for equality and inequality restricted estimation, model selection and hypothesis testing |
| AngerManagement |
Reduction of aggression levels Dataset (4 treatment groups) |
| benchmark |
Benchmark Functions for GORIC(A) Analysis |
| benchmark_asymp |
Benchmark Functions for GORIC(A) Analysis |
| benchmark_means |
Benchmark Functions for GORIC(A) Analysis |
| bootstrapD |
Bootstrapping a Lavaan Model |
| Burns |
Relation between the response variable PTSS and gender, age, TBSA, guilt and anger. |
| calculate_IC_weights |
Calculating IC weights based on IC values (AIC, ORIC, GORIC(A), BIC, SIC, ...) |
| calc_ICweights |
Calculating IC weights based on IC values (AIC, ORIC, GORIC(A), BIC, SIC, ...) |
| coef.con_goric |
Generalized Order-Restricted Information Criterion (Approximation) Weights |
| coef.restriktor |
Methods for restriktor |
| conGLM.glm |
Estimating linear regression models with (in)equality restrictions |
| conLM.lm |
Estimating linear regression models with (in)equality restrictions |
| conMLM.mlm |
Estimating linear regression models with (in)equality restrictions |
| conRLM.rlm |
Estimating linear regression models with (in)equality restrictions |
| conTest |
function for informative hypothesis testing (iht) |
| contest |
function for informative hypothesis testing (iht) |
| conTest-methods |
Methods for iht |
| conTestC |
one-sided t-test for iht |
| conTestC.restriktor |
one-sided t-test for iht |
| conTestD |
function for informative hypothesis testing (iht) |
| contestD |
function for informative hypothesis testing (iht) |
| conTestF |
F-bar test for iht |
| conTestF.conGLM |
F-bar test for iht |
| conTestF.conLM |
F-bar test for iht |
| conTestF.conRLM |
F-bar test for iht |
| conTestLRT |
Likelihood-ratio-bar test for iht |
| conTestLRT.conGLM |
Likelihood-ratio-bar test for iht |
| conTestLRT.conLM |
Likelihood-ratio-bar test for iht |
| conTestLRT.conMLM |
Likelihood-ratio-bar test for iht |
| conTestScore |
Score-bar test for iht |
| conTestScore.conGLM |
Score-bar test for iht |
| conTestScore.conLM |
Score-bar test for iht |
| conTestScore.conRLM |
Score-bar test for iht |
| conTestWald |
Wald-bar test for robust iht |
| conTestWald.conRLM |
Wald-bar test for robust iht |
| conTest_ceq |
Tests for iht with equality constraints only |
| conTest_ceq.conGLM |
Tests for iht with equality constraints only |
| conTest_ceq.conLM |
Tests for iht with equality constraints only |
| conTest_ceq.conRLM |
Tests for iht with equality constraints only |
| conTest_summary |
function for computing all available hypothesis tests |
| conTest_summary.restriktor |
function for computing all available hypothesis tests |
| con_weights_boot |
function for computing the chi-bar-square weights based on Monte Carlo simulation. |
| evSyn |
GORIC(A) Evidence synthesis |
| evsyn |
GORIC(A) Evidence synthesis |
| evSyn_escalc |
GORIC(A) Evidence synthesis |
| evSyn_est |
GORIC(A) Evidence synthesis |
| evSyn_gorica |
GORIC(A) Evidence synthesis |
| evSyn_ICratios |
GORIC(A) Evidence synthesis |
| evSyn_ICvalues |
GORIC(A) Evidence synthesis |
| evSyn_ICweights |
GORIC(A) Evidence synthesis |
| evSyn_LL |
GORIC(A) Evidence synthesis |
| Exam |
Relation between exam scores and study hours, anxiety scores and average point scores. |
| FacialBurns |
Dataset for illustrating the conTest_conLavaan function. |
| goric |
Generalized Order-Restricted Information Criterion (Approximation) Weights |
| goric.CTmeta |
Generalized Order-Restricted Information Criterion (Approximation) Weights |
| goric.default |
Generalized Order-Restricted Information Criterion (Approximation) Weights |
| goric.lavaan |
Generalized Order-Restricted Information Criterion (Approximation) Weights |
| goric.lm |
Generalized Order-Restricted Information Criterion (Approximation) Weights |
| goric.numeric |
Generalized Order-Restricted Information Criterion (Approximation) Weights |
| goric.rma |
Generalized Order-Restricted Information Criterion (Approximation) Weights |
| Hurricanes |
The Hurricanes Dataset |
| IC_weights |
Calculating IC weights based on IC values (AIC, ORIC, GORIC(A), BIC, SIC, ...) |
| iht |
function for informative hypothesis testing (iht) |
| iht-methods |
Methods for iht |
| iht_summary |
function for computing all available hypothesis tests |
| logLik.restriktor |
Methods for restriktor |
| model.matrix.restriktor |
Methods for restriktor |
| myGORICs |
An example of IC values |
| myLLs |
An example of log-likelihood (LL) values |
| myPTs |
An example of penalty (PT) values |
| plot.benchmark |
Benchmark Functions for GORIC(A) Analysis |
| plot.evSyn |
GORIC(A) Evidence synthesis |
| print.benchmark |
Benchmark Functions for GORIC(A) Analysis |
| print.conTest |
Methods for iht |
| print.conTestLavaan |
Bootstrapping a Lavaan Model |
| print.con_goric |
Generalized Order-Restricted Information Criterion (Approximation) Weights |
| print.evSyn |
GORIC(A) Evidence synthesis |
| print.goric_ICw |
Calculating IC weights based on IC values (AIC, ORIC, GORIC(A), BIC, SIC, ...) |
| print.restriktor |
Methods for restriktor |
| print.summary.evSyn |
GORIC(A) Evidence synthesis |
| print.summary.restriktor |
Methods for restriktor |
| restriktor |
Estimating linear regression models with (in)equality restrictions |
| restriktor-methods |
Methods for restriktor |
| summary.con_goric |
Generalized Order-Restricted Information Criterion (Approximation) Weights |
| summary.evSyn |
GORIC(A) Evidence synthesis |
| summary.restriktor |
Methods for restriktor |
| ZelazoKolb1972 |
"Walking" in the newborn (4 treatment groups) |
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