R: Testing in Conditional Likelihood Context

# Testing in Conditional Likelihood Context

## Documentation for package ‘tcl’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

change_test | Tests in context of measurement of change using LLTM.
cml_power | Power and Power Curve Functions
discr_test | Testing item discriminations
get_eRm_arg | Extract Arguments from an eRm Object
invar_test | Test of invariance of item parameters between two groups.
LLTM_test | Testing linear restrictions on parameter space of item parameters of RM.
mix_mod | Mixed model considering the effects of multiple covariates .
opt_n | Computes the optimal sample size for item parameter invariance tests.
post_hocChange | Power analysis of tests in context of measurement of change using LLTM
post_hocPCM | Power analysis of tests of invariance of item parameters between two groups of persons in partial credit model
post_hocRM | Power analysis of tests of invariance of item parameters between two groups of persons in binary Rasch model
powerChange | Power analysis of tests in context of measurement of change using LLTM
powerPCM | Power analysis of tests of invariance of item parameters between two groups of persons in partial credit model
powerRM | Power analysis of tests of invariance of item parameters between two groups of persons in binary Rasch model
p_curve | Power and Power Curve Functions
p_ncurve | Power and Power Curve Functions
sa_sizeChange | Sample size planning for tests in context of measurement of change using LLTM
sa_sizePCM | Sample size planning for tests of invariance of item-category parameters between two groups of persons in partial credit model
sa_sizeRM | Sample size planning for tests of invariance of item parameters between two groups of persons in binary Rasch model
tcl_hessian | Computation of Hessian matrix.
tcl_scorefun | Computation of score function.