stringi, tibble, tidyr, tidyselect, vctrs

Imports: dplyr (>= 0.8.5), glue, magrittr, purrr, r2dii.data, rlang,
stringdist, stringi, tibble, tidyr, tidyselect

Imports: data.table, dplyr (>= 0.8.5), glue, lifecycle, magrittr,
purrr, r2dii.data, rlang, stringdist, stringi, tibble, tidyr,

and climate scenarios (<https://www.transitionmonitor.com/>). Financial

Title: Visualize the Climate Scenario Alignment of a Financial
Description: Create plots to visualize the alignment of a corporate
lending portfolio to climate change scenarios based on climate
indicators (production and emission intensities) across key climate
relevant sectors of the 'PACTA' methodology (Paris Agreement Capital
allocation decisions align with climate change mitigation goals.
Imports: dplyr, forcats, ggplot2, ggrepel, glue, gridExtra, lubridate,
Suggests: covr, r2dii.analysis, r2dii.match, rmarkdown, spelling,

Imports: dplyr, forcats, ggplot2, ggrepel, glue, lubridate, magrittr,
Packaged: 2021-06-29 14:48:23 UTC; monikafurdyna

lending financial portfolio to climate change scenarios based on
climate indicators (production and emission intensities) across key
climate relevant sectors of the 'PACTA' methodology (Paris Agreement
Imports: dplyr, forcats, ggplot2, ggrepel, glue, magrittr, r2dii.data,

Packaged: 2022-05-05 16:55:16 UTC; monikafurdyna

Title: Computes R Squared for Mixed (Multilevel) Models
Authors@R: person("Byron", "Jaeger", email = "byron.jaeger@gmail.com", role = c("aut", "cre"))
Description: The model R squared and semi-partial R squared for the linear and
generalized linear mixed model (LMM and GLMM) are computed with confidence
limits. The R squared measure from Edwards et.al (2008) <DOI:10.1002/sim.3429>
is extended to the GLMM using penalized quasi-likelihood (PQL) estimation
of computation are provided and described as follows. Firstly, The
Kenward-Roger approach. Due to some inconsistency between the 'pbkrtest'
package and the 'glmmPQL' function, the Kenward-Roger approach in the
'r2glmm' package is limited to the LMM. Secondly, The method introduced
The 'r2glmm' package only computes marginal R squared for the LMM and does
not generalize the statistic to the GLMM; however, confidence limits and
semi-partial R squared for fixed effects are useful additions. Lastly, an
approach using standardized generalized variance (SGV) can be used for
covariance model selection. Package installation instructions can be found
Imports: mgcv, lmerTest, Matrix, pbkrtest, ggplot2, afex, stats, MASS,