Title: Generalized Co-Sparse Factor Regression
Description: Divide and conquer approach for estimating low-rank and sparse coefficient matrix in the generalized co-sparse factor regression. Please refer the manuscript 'Mishra, Aditya, Dipak K. Dey, Yong Chen, and Kun Chen. Generalized co-sparse factor regression. Computational Statistics & Data Analysis 157 (2021): 107127' for more details.
Imports: Rcpp (>= 0.12.9), MASS, magrittr, rrpack, glmnet

Title: Fast DocumentTermMatrix and TermDocumentMatrix Creation
Authors@R: c(person("Tyler", "Rinker", email =
"tyler.rinker@gmail.com", role = c("aut", "cre")))
Description: Harness the power of 'quanteda', 'data.table' & 'stringi'
to quickly generate 'tm' DocumentTermMatrix and
Imports: data.table (>= 1.9.5), quanteda, slam, SnowballC, stats, tm

Authors@R: c(person("Tyler", "Rinker", email = "tyler.rinker@gmail.com", role = c("aut", "cre")))
Description: Harness the power of 'quanteda', 'data.table' & 'stringi' to quickly generate 'tm' DocumentTermMatrix

Title: Goodness-of-Fit Measures for Categorical Response Models
Description: A post-estimation method for categorical response models (CRM).
Inputs from objects of class serp(), clm(), polr(), multinom(), mlogit(),
vglm() and glm() are currently supported. Available tests include the
Hosmer-Lemeshow tests for the binary, multinomial and ordinal logistic
regression; the Lipsitz and the Pulkstenis-Robinson tests for the ordinal
models. The proportional odds, adjacent-category, and constrained continuation-ratio
models are particularly supported at ordinal level. Tests for the proportional
odds assumptions in ordinal models are also possible with the Brant and the
Likelihood-Ratio tests. Moreover, several summary measures of predictive strength
(Pseudo R-squared), and some useful error metrics, including, the brier
score, misclassification rate and logloss are also available for the
binary, multinomial and ordinal models. Ugba, E. R. and Gertheiss, J. (2018)
Imports: methods, utils, crayon, stats, Matrix, epiR, reshape, stringr,
Suggests: serp, dfidx, mlogit, nnet, ordinal, MASS, testthat, covr
Author: Ejike R. Ugba [aut, cre, cph] (<https://orcid.org/0000-0003-2572-0023>)
Maintainer: Ejike R. Ugba <ejike.ugba@outlook.com>