Convert input in any one of character, integer, numeric, factor,
 or ordered type into 'POSIXct' (or 'Date') objects, using one of a number of
 predefined formats, and relying on Boost facilities for date and time parsing.

Alternating optimization is an iterative procedure that optimizes 
    a function by alternately performing restricted optimization over individual 
    parameter subsets. Instead of tackling joint optimization directly, it 
    breaks the problem down into simpler sub-problems. This approach can make 
    optimization feasible when joint optimization is too difficult.

Provides a set of functions to analyse
        overdispersed counts or proportions. Most of the methods are
        already available elsewhere but are scattered in different
        packages. The proposed functions should be considered as
        complements to more sophisticated methods such as generalized
        estimating equations (GEE) or generalized linear mixed effect
        models (GLMM).

Provides functions to analyse overdispersed
        counts or proportions.  These functions should be considered as
        complements to more sophisticated methods such as generalized
        estimating equations (GEE) or generalized linear mixed effect
        models (GLMM). aods3 is an S3 re-implementation of the
        deprecated S4 package aod.

Another implementation of object-orientation in R. It provides
    syntactic sugar for the S4 class system and two alternative new
    implementations. One is an experimental version built around S4
    and the other one makes it more convenient to work with lists as objects.

Download data from the 'Access to Opportunities Project (AOP)'. The 
             'aopdata' package brings annual estimates of access to employment, 
             health, education and social assistance services by transport mode, 
             as well as data  on the spatial distribution of population, jobs, 
             health care, schools and social assistance facilities at a fine 
             spatial resolution for all cities included in the project. More 
             info on the 'AOP' website <https://www.ipea.gov.br/acessooportunidades/en/>.