Title: Specification Tests for Parametric Propensity Score Models
Author: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>, Xiajoun Song
Description: The propensity score is one of the most widely used tools in studying the causal effect
of a treatment, intervention, or policy. Given that the propensity score is usually unknown,
it has to be estimated, implying that the reliability of many treatment effect estimators depends
on the correct specification of the (parametric) propensity score. This package provides
data-driven nonparametric diagnostic tools for detecting propensity score misspecification.

Author: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>, Xiaojun Song
Description: The propensity score is one of the most widely used tools in
studying the causal effect of a treatment, intervention, or policy. Given that
the propensity score is usually unknown, it has to be estimated, implying that
the reliability of many treatment effect estimators depends on the correct
specification of the (parametric) propensity score. This package implements the
data-driven nonparametric diagnostic tools for detecting propensity score
misspecification proposed by Sant'Anna and Song (2019) <doi:10.1016/j.jeconom.2019.02.002>.
Imports: stats, parallel, glmx, MASS, utils

Title: Various procedures used in psychometry
Description: Kappa, ICC, Cronbach alpha, screeplot, PCA and related methods

Packaged: Fri Apr 23 11:14:49 2004; Bruno

Description: Kappa, ICC, Cronbach alpha, screeplot, PCA, biplots, non linear mapping and related methods
Packaged: Sun Apr 24 19:06:34 2005; Bruno

Packaged: Mon Jun 27 13:12:55 2005; hornik

Description: Kappa, ICC, Cronbach alpha, screeplot, mtmm

Packaged: 2012-06-14 09:35:19 UTC; GENOLLINI

Title: Various Procedures Used in Psychometrics
person("Bruno", "Falissard", email="falissard_b@wanadoo.fr", role = c("aut","cre"))
Description: Kappa, ICC, reliability coefficient, parallel analysis,
multi-traits multi-methods, spherical representation of a correlation matrix.

Title: Integrated Toolkit for Psychological Analysis and Modeling in R
Description: A beginner-friendly R package for modeling in psychology or
related field. It allows fitting models, plotting, checking goodness
of fit, and model assumption violations all in one place. It also
produces beautiful and easy-to-read output.
Imports: dplyr, ggplot2, glue, lavaan, lifecycle, lme4, lmerTest,
parameters, performance, psych, rlang (>= 0.1.2), stringr,
Suggests: correlation, covr, cowplot, fansi, ggrepel, GPArotation,
gridExtra, interactions, knitr, nFactors, nlme, pagedown,
qqplotr, rmarkdown, roxygen2, sandwich, see, semPlot, testthat
Author: Jason Moy [aut, cre] (<https://orcid.org/0000-0001-8795-3311>)