* using log directory 'd:/RCompile/CRANincoming/R-devel/netmediate.Rcheck' * using R Under development (unstable) (2024-02-05 r85863 ucrt) * using platform: x86_64-w64-mingw32 * R was compiled by gcc.exe (GCC) 12.3.0 GNU Fortran (GCC) 12.3.0 * running under: Windows Server 2022 x64 (build 20348) * using session charset: UTF-8 * checking for file 'netmediate/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'netmediate' version '0.1.3' * package encoding: UTF-8 * checking CRAN incoming feasibility ... NOTE Maintainer: 'Scott Duxbury ' Possibly misspelled words in DESCRIPTION: Duxbury (13:5, 14:5) * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking serialization versions ... OK * checking whether package 'netmediate' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking for future file timestamps ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking R files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking use of S3 registration ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... [14s] OK * checking Rd files ... NOTE checkRd: (-1) AMME.Rd:10: Lost braces 10 | The second model is a cross-sectional or longitudinal macro model (i.e., a model where the unit of analysis is a node, subgraph, or network or a combination of nodes, subgraphs, and networks measured collected from multiple settings [such as distinct schools or organizations]) of the form \eqn{g(Y_i|M_{i},X_{i},T_{i})}, where \eqn{Y_i} is the outcome variable, \eqn{M_i} is the mediating macro variable, \eqn{X_i} is a matrix of control variables that possibly vary as a function of selection process \eqn{T_{ij}}, and \eqn{T_i} is the optional unit-level measure of {T_{ij}}. The AMME is the change in \eqn{Y_i} when \eqn{T_{ij}} allowed to vary versus set to 0 because of an associated change in \eqn{M_i}. The AMME is given by \deqn{AMME=\frac{1}{2n} y_i(T_i(t),M_i(T_{ij}),X_i(t))-y_i(T_i(t),M_i(0),X_i(t))}, where \eqn{n} is the number of observations and \eqn{t=0,T_{ij}}. AMME currently accepts the following micro models: \code{glm}, \code{glmer}, \code{ergm}, \code{btergm}, \code{sienaFit}, \code{rem.dyad}, and \code{netlogit} objects. The following macro model objects are accepted: \code{lm}, \code{glm}, \code{lmer}, \code{glmer}, \code{gam}, \code{plm}, and \code{lnam} objects. Pooled estimation for multiple network models is also implemented for \code{ergm} and \code{sienaFit} micro models. Both parametric and nonparametric estimation are available. | ^ checkRd: (-1) AMME.Rd:10: Lost braces; missing escapes or markup? 10 | The second model is a cross-sectional or longitudinal macro model (i.e., a model where the unit of analysis is a node, subgraph, or network or a combination of nodes, subgraphs, and networks measured collected from multiple settings [such as distinct schools or organizations]) of the form \eqn{g(Y_i|M_{i},X_{i},T_{i})}, where \eqn{Y_i} is the outcome variable, \eqn{M_i} is the mediating macro variable, \eqn{X_i} is a matrix of control variables that possibly vary as a function of selection process \eqn{T_{ij}}, and \eqn{T_i} is the optional unit-level measure of {T_{ij}}. The AMME is the change in \eqn{Y_i} when \eqn{T_{ij}} allowed to vary versus set to 0 because of an associated change in \eqn{M_i}. The AMME is given by \deqn{AMME=\frac{1}{2n} y_i(T_i(t),M_i(T_{ij}),X_i(t))-y_i(T_i(t),M_i(0),X_i(t))}, where \eqn{n} is the number of observations and \eqn{t=0,T_{ij}}. AMME currently accepts the following micro models: \code{glm}, \code{glmer}, \code{ergm}, \code{btergm}, \code{sienaFit}, \code{rem.dyad}, and \code{netlogit} objects. The following macro model objects are accepted: \code{lm}, \code{glm}, \code{lmer}, \code{glmer}, \code{gam}, \code{plm}, and \code{lnam} objects. Pooled estimation for multiple network models is also implemented for \code{ergm} and \code{sienaFit} micro models. Both parametric and nonparametric estimation are available. | ^ * checking Rd metadata ... OK * checking Rd line widths ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking examples ... OK * checking PDF version of manual ... [17s] OK * checking HTML version of manual ... OK * DONE Status: 2 NOTEs